The study used machine learning to assess consumer spending and asset wealth, using high-resolution satellite imagery to measure poverty in Africa.

Published in 2016

Kimetrica has developed an application called MERON. MERON is a machine learning tool - Method for Extremely Rapid Observation of Nutritional Status to detect malnutrition using photographs. It allows for a non-invasive, time efficient, and tamper-proof approach to assessing the malnutrition status of an individual by using a facial recognition and processing algorithm.

Published in 2017

The flood forecasting pilot initiative incorporates AI and physics-based modeling to provide accurate real-time flood forecasting and alerts. The models can more accurately predict not only when and where a flood might occur, but also the severity of the event.

Published in 2019

The project aims to create a matching algorithm for refugees by modeling the ideal refugee migration patterns and recommend appropriate destination countries. In this way, the social and economic pressures in those countries could be alleviated, and the disruption to the lives of migrants and local inhabitants could also be minimized.

Published in 2018

This article explains the essentials of AI and data-driven analytics, analyzes the solution space of a number of human development problems, and identifies the most valuable contributions that AI and data analytics can make.

Published in 2018

The financial advisor system can learn from historical data to predict the account balances of individuals for a future time period, analyze the spending patterns of users, and provide key insights into their financial health. With its help, low-income individuals and families can better plan their financial spending behavior and avoid a vicious cycle of debt and poor credit.

Published in 2017

iFLYTEK continues to use AI technology to help poverty areas solve educational and medical difficulties.

Dymaxion Labs facilitates our understanding of the physical world by automating the analysis of satellite-SAR-aerial-drone imagery, climate data, public market data, proprietary data models, and real-time Internet of Things (IoT) sensors.

Paraguay has a broad rural social group with modest means and reduced access to financial leverage to help them get out of that situation through loans or technical assistance. Furthermore, it is common for these individuals to be registered in a credit bureau or identified with a high financial risk which prevents them from accessing new financing to make investments.

ParaEmpleo is the first digital platform in the Latin American market that can make a job match through the use of algorithms free from discrimination in real time and available to any player in the job market without compromising the privacy or routine operating mode of users. It is unrestricted, free of charge and available in a mobile version.

Given a migrant and a job on the Internet that he/she wishes to perform, the digital tools learn the sequence of micro-tasks best suited to help this individual develop the digital skills needed to complete the work. Since workers help each other to recommend which micro-tasks must be implemented to develop certain digital skills on the job (workers coach and train one another), the system uses this information to learn which types of tasks are more convenient for developing specific skills, and then recommends these tasks to other workers so they develop them and access better salaries. Up to now, the tools have helped training hundreds of workers in thousands of different digital tasks. This has also helped workers access better paid job opportunities (because they now have more specialized skills). The intelligent tools have been awarded honorable mentions in conferences and scientific journals such as the Conference on Human-Computer Interaction of the Association for Computing Machinery (ACM CHI) and the World Wide Web (WWW).

Kimetrica, a social enterprise with bases in the US, Ethiopia and Kenya, have been working on a machine learning tool, MERON - Method for Extremely Rapid Observation of Nutritional Status in order to detect malnutrition using photographs.

Jaguza helps people solve their farming problems, concerning disease, Market, Farming Methods, information sharing, Livestock Monitoring, social security and Reporting. The Livestock Farmers use drones to obtain an aerial overview of the area in which they keep their livestock. They can track and monitor their livestock remotely, identifying any issues in real time.

Aerobotics uses drone imagery and artificial intelligence to monitor crops and warn about potential risks, early pest, and disease detection.

Microsoft in collaboration with ICRISAT, developed a digital agriculture, where technologies such as Artificial Intelligence (AI), Cloud Machine Learning, Satellite Imagery and advanced analytics are empowering small-holder farmers to increase their income through higher crop yield and greater price control.

FarmLogs is a free platform using AI to help farmers increase profitability and reduce waste. FarmLogs contains four products: FarmLog Lite(free), FarmLogs Essentials, FarmLogs Complete, Add-Ons.

With sensors, cameras, artificial intelligence, etc., Plenty provides the optimum conditions for crops to grow and uses robots for automated cultivation in Vertical Farm.

Published in 2017

Use model to predict population of salmons

Published in 2020

Classify land use to help farmers shift to more sustainable farming methods

Published in 2019

Identify pests using smartphone app.

Published in 2019

This project is using climate forecasts of Global Climate Models to predicted crop-yields in near-future in India.

Published in 2018

Prospera’s technology collects, digitizes & analyzes vast amounts of data to help growers control & optimize their production and growing systems. Prospera’s system provides growers easy-to- use digital tools to achieve better yields, healthier crops, and higher profits.

Kimetrica has developed an application called MERON. MERON is a machine learning tool - Method for Extremely Rapid Observation of Nutritional Status to detect malnutrition using photographs. It allows for a non-invasive, time efficient, and tamper-proof approach to assessing the malnutrition status of an individual by using a facial recognition and processing algorithm.

Published in 2017

Harvesting is building Agriculture Intelligence Engine to help financial institutions make and monitor loans to farmers in the developing world. There are 3 products in Harvesting Farmer Network: Credit Risk Solution, Farm Land Monitoring, and Land Record Monitoring.

Published in 2017

iFLYTEK continues to use AI technology to help poverty areas solve educational and medical difficulties.

Nutrition Early Warning System (NEWS) is one of many projects emerging out of the CGIAR Platform for Big Data in Agriculture. NEWS will aggregate and analyze satellite imagery and traditional data, such as rainfall, temperature, and vegetation health, to help predict the nutritive value of crops.

iFarm develops autonomous farming systems to grow greens, berries, and edible flowers indoors by using smart technologies. They offer fully automated, sustainable, eco-friendly and economically viable turnkey solutions suitable for production sites of any size.

Published in 2017

Nuru is an Artificially Intelligent that has been developed with the UN FAO, CGIAR, and other publicly funded institutions. It expects to radically transform pest and disease monitoring using AI, advanced sensor technology and crowdsourcing capable of connecting the global agricultural community.

Published in 2017

AdaViv is developing an adaptive and efficient indoor growing system that uses sensors, actuators, and machine learning to monitor plant growth, predict yields, detect diseases, and understand precisely how nutrients, environment and light are affecting plant growth. This system will help indoor producers attain higher yields, precise quality control, and hyper-efficient production.

Explore the depths of the ocean to help monitor the Hawaiʻi bottomfish population!

Published in 2001

Filling Fisheries Data Gaps with Historical Dock Photos

Published in 2019

This is a mobile app using augmented reality in combination with AI. By determining weight and height through a 3D scan of children, the app can instantly detect malnutrition.

Orbem.ai is as an interdisciplinary and international team from the Technical University of Munich. Their A.I. powered digital technology automatically analyzes and classifies biological samples, revolutionizing the way we produce food to meet the needs of a rising population.

Cloudwalk use AI technique to identify the species and quantity of fish in Qinghai lake. It is very important for the protection of Gymnocypris przewalskii, which is a valuble and unique resource in the lake.

Published in 2020

Monitoring global fishing activity

Published in 2017

Paraguay has a broad rural social group with modest means and reduced access to financial leverage to help them get out of that situation through loans or technical assistance. Furthermore, it is common for these individuals to be registered in a credit bureau or identified with a high financial risk which prevents them from accessing new financing to make investments.

NotCo was founded in 2016 with the purpose of changing the way food is made, a way to allow people to eat more healthily without noticing it. To achieve this, NotCo combined science and Artificial Intelligence technology to help scientists create food formulas that are delicious and sustainable. An efficient and sustainable way was invented for transforming plants into food products that deliver all the pleasures and nutritional benefits that consumers demand, without a destructive environmental impact.

Aerobotics is a data analytics company that makes use of aerial imagery and machine learning algorithms to solve specific problems across a number of industries, including in agriculture and insurance.

Kimetrica, a social enterprise with bases in the US, Ethiopia and Kenya, have been working on a machine learning tool, MERON - Method for Extremely Rapid Observation of Nutritional Status in order to detect malnutrition using photographs.

Prospera aims to transform farm production with end to end digitalization, from agronomy to operations. Prospera is powered by advanced data analytics, computer vision and artificial intelligence. Prospera’s system provides growers easy-to- use digital tools to achieve better yields, healthier crops, and higher profits.

Microsoft in collaboration with the International Crop Research Institute for the Semi-Arid Tropics (ICRISAT), developed an Artificial Intelligence Sowing App to support thousands of farmers in a few dozen villages in Telengana, Maharashtra and Madhya Pradesh, India. The app sends sowing advisories to participating farmers based on data analysed by artificial intelligence.

Fasal Salah is an informative free to use app which is designed to help farmers by providing real time personalized crop advisory based on current and forecasted weather.

Child Growth Monitor (CGM) is an AI-powered smartphone app that was launched by the German non-profit organization Welthungerhilfe. The app allows individuals to scan children and detect malnutrition.

FarmLogs is a free platform that was developed to improve efficiency in farm management for farmers.

The OpenAg project aims to build a healthier and more sustainable food system across the world by creating an open-source ecosystem of data and “food computers” that use artificial intelligence to record, process, and share extensive data about the best growing techniques and conditions for plants. This allows people to experiment, educate, and produce food hyper-locally in a transparent and well-connected network across the globe.

Plantix is a free app powered by deep neural networks, built to help farmers, to distinguish between different patterns that are left by plant diseases, pest or nutrient deficiencies.

There are approximately 500 million small and medium farmers around the world whose agricultural production equals 75% of the world´s total food supply. However, despite this fact, they only receive 25% of financial credits to agriculture. It is thought that demand will grow in the upcoming decades, whereby this industrial sector will be crucial for supplying food to the world. Financial institutions have several difficulties in assessing the risks of these companies, since traditional methods don´t have the tools to adequately measure real financial risks. For this reason, the interests on these loans have steeply increased by 30% or more. Traive provides a solution to this problem through the creation of a credit system that uses machine learning.

Kilimo assists agricultural producers to optimize water usage in their production process. By compiling field data and combining them with our big data from our historical collection, satellite images, machine learning and other processing and forecasting tools, our proprietary software provides: i) A 7-day estimate of crop water consumption ii) Periodic summarized advice for producers written in simple language about the required amount of water in every field to achieve their production goals iii) Risk-related information about irrigation for company intelligence

The Google.org Climate Impact Challenge Project has committed 10 million euros to fund bold ideas aimed at using technology to accelerate Europe towards a greener and more resilient future. The selected organizations may receive up to 2 million euros of funds and customized post-grant support from Google Entrepreneurship Accelerator to help turn their ideas into reality. The following are the selected projects of the climate impact challenge at Google.org. These organizations have received funding of 500000 to 2 million euros and support from Google. (11 in total) 1) Energy Web (EW): introduce energy stored in distributed energy into the grid Country: Switzerland EW is a global non-profit organization, accelerating the establishment of a low-carbon, customer-centric power system by releasing the potential of open source and decentralized technology. 2) Climate Farmers: tackling climate change through renewable agriculture Country: Germany Through the development of soil carbon monitoring system, establish an effective agricultural carbon market, and help European farmers transition to renewable practices 3) Materiom: Accelerate the research and development of biomaterials through the use of artificial intelligence and distributed testing Country: UK Create an open library of bioplastics "formulas" - scientific building blocks for manufacturing compostable packaging materials - to double the innovation speed of high-performance, low-carbon compostable materials. 4) Normative: help companies reduce their carbon footprint through financial reporting Country: Sweden Together...

In March 2022, Future Seeds, the world's largest tropical crop gene bank, was established in Colombia to protect plant biodiversity and support agricultural research. Managed by the International Union for Biological Diversity (CIGAR) and the International Tropical Agriculture Centre (CIAT), it includes more than 37000 legume samples, 6000 cassava samples and 22600 tropical forage samples from more than 100 countries. These gene banks, which store seeds, seedlings and tissues containing genetic information, are crucial to achieving food and nutrition security worldwide. Other breakthrough technologies in Future Seeds, including unmanned aerial vehicles and big data, will also help to analyze the characteristics of field crops more quickly, use artificial intelligence to identify potential biodiversity hotspots in nature, and accelerate the development of climate-adapted crops.

Published in 2022

The technology for whole genome sequence analysis is a technology for virus genome sequencing from sample to report. It establishes virus screening and analysis capabilities for local disease control centers and customs agencies that need to manage COVID-19. It provides viral genetic data screening, automated analysis and report generation, and can also work as a research platform for laboratories

This study involves tasks in identifying drug targets, identifying lead compounds, optimizing their designs against multiple property profiles of interest and identifying synthetic routes to realize the composition of matter.

The project looked at the possibility of AI-based on CRG in the scientific-technical process and social aspects and the decision making process.

Drug discovery and development are among the most important translational science activities that contribute to human health and wellbeing. However, the development of a new drug is a very complex, expensive, and long process. AI combined with new experimental technologies is expected to make the hunt for new pharmaceuticals quicker, cheaper, and more effective.

Kimetrica has developed an application called MERON. MERON is a machine learning tool - Method for Extremely Rapid Observation of Nutritional Status to detect malnutrition using photographs. It allows for a non-invasive, time efficient, and tamper-proof approach to assessing the malnutrition status of an individual by using a facial recognition and processing algorithm.

Published in 2017

A machine learning algorithm can detect signs of anxiety and depression in the speech patterns of young children, potentially providing a fast and easy way of diagnosing conditions.

Published in 2019

This system captures a high-resolution image of the back of the patient’s eye that clinicians use to identify diabetic retinopathy and determine if the patient is at risk of vision damage.

The CT Image Analytics for COVID-19 technology can assist in identifying characteristics of coronavirus pneumonia in CT scans with about 96% accuracy. It is 60 times faster than human detection methods, taking less than four seconds to run each test and transmit the data.

This system aims to make roads safer by sending alerts of crashes and illegal driving and to improve traffic management by counting and identifying vehicles and pedestrians.

The SARS-Cov virus, which studies the highest gene sequence similarity, modeled the covid-19 virus. Combined with high-precision molecular dynamics calculation and drug molecular simulation research and development platform, the three-dimensional structure of 3CLpro and PLpro potential targets on covid-19 viruses and the Siper protein associated with infection was obtained. New screening of older

Northwestern University researchers are using artificial intelligence (AI) to speed up the search for COVID-19 treatments and vaccines. The AI-powered tool makes it possible to prioritize resources for the most promising studies — and ignore research that is unlikely to yield benefits.

The system uses a newly designed TMuNet model that automatically identifies and locates suspect lesions, identifies the location of the lump and calcite stoves, and helps doctors quickly find suspects.

Use AI to examine and treat glaucoma patients

Using an existing social media dataset that was associated with HIV and coded by an HIV domain expert, they tested whether four commonly used machine learning methods could learn the patterns associated with HIV risk behavior. They used the 10-fold cross validation method to examine the speed and accuracy of these models in applying that knowledge to detect HIV content in social media data.

Waycare collects data from transportation agencies' existing infrastructure. This information is combined with additional data from mobile apps, connected vehicles, weather, and event management systems. Artificial Intelligence (AI) algorithms ingest, synthesize, and process this information to produce actionable insights and predictions for traffic safety and congestion management.

The technology uses AI as an adjunct to clinician interpretation of electronic fetal heart rate monitoring.

Using Artificial Intelligence and Predictive Analytics, we have created several machine learning tools and engines in line of important issues related to public health.

iFLYTEK continues to use AI technology to help poverty areas solve educational and medical difficulties.

The study explored different modes of refinement for image-based search, and evaluated their effects on doctor interaction with SMILY.

AI helps the clinical care team provide the best care for patients.

The study would identify prescriptions that looked abnormal for the patient and their current situation,preventing medication errors in patients

IBM Watson Health was created to help solve some of the world's most pressing health challenges through data, analytics and AI.

On August 24th, the global online education "unicorn" enterprise iTutorGroup celebrated its 20th anniversary in Taipei. Founder and CEO Dr. Eric Yang laid out the company's blueprint for strategic development as he talked about AI and education with the world's first robot citizen Sophia. iTutorGroup 'hired' Sophia as the first-ever AI tutor and invited her to explore the new era of online educa

Published in 2018

March 30, 2020 – Asia's leading artificial intelligence (A.I.) and speech technology company, iFLYTEK has partnered with the South Korean technology company, Hancom Group, to launch the joint venture Accufly.AI in South Korea.The A.I. Outbound Calling System is a smart, integrated system that is based on iFLYTEK solutions and Hancom Group's Korean-based speech recognition. .

Published in 2020

BenevolentAI platform helps researchers to review millions of papers and abstracts and can organize the information into a network of known facts. The AI tool can generate a large number of possible hypotheses, and these hypotheses can be further analyzed and distilled into several promising hypotheses. This AI tool can raise the efficiency and success rate of pharma research and development.

Published in 2020

This is a mobile app using augmented reality in combination with AI. By determining weight and height through a 3D scan of children, the app can instantly detect malnutrition.

Retinal screening becomes part of a regular health checkup for early disease identification and management. Major retinal diseases such as diabetic retinopathy, glaucoma and age-related macular degeneration can now be identified in an early stage. Additionally, a retinal analysis can assess the impact of risk factors – including diabetes, smoking, obesity, high cholesterol, and hypertension.

UNIMA developed a fast and low-cost device which uses a diagnostic and disease surveillance technology which allows doctors, nurses and healthcare workers to diagnose disease directly at the point of care, however remote it is, in less than 15 minutes, without the use of any laboratory equipment and at a very low cost.

1DOC3 is an affordable online portal for medical consultations which offers this service to 1 million people every month. 1DOC3 uses technology to optimize a physician´s time by performing a real-time remote and personalized check-up of symptoms, a triage and a pre-diagnosis for each case using AI.

Amanda Care seeks to improve the general health of the Argentine population through a platform designed to promote the welfare of patients. The platform facilitates the monitoring of patients on behalf of doctors, ensuring their adherence to treatment.

The project is developing and validating a portable easy to use low-cost system for the diagnosis of anemia that does not require a doctor being present. The system will be based on the capture of digital images of the conjunctiva of the upper eye-lid with a Smartphone which are then processed by an artificial intelligence software that interprets the image and estimates the blood hemoglobin level. In addition, photographs of the nail bed of the hand will also be taken for analysis. Similarly, to facilitate the use of the system, an online training module will be created to educate staff promoting the system in a simple manner.

NotCo was founded in 2016 with the purpose of changing the way food is made, a way to allow people to eat more healthily without noticing it. To achieve this, NotCo combined science and Artificial Intelligence technology to help scientists create food formulas that are delicious and sustainable. An efficient and sustainable way was invented for transforming plants into food products that deliver all the pleasures and nutritional benefits that consumers demand, without a destructive environmental impact.

The mission of Portal Telemedicina is to guarantee universal access to quality healthcare, through a platform that delivers reliable, fast and affordable diagnostics allowing physicians to deliver diagnostics online. Telemedicina helps small clinics to expand their diagnostic services through the portal which includes access to experts and AI models.

R1T1 is a specialized robot for the health sector. It supports hospital staff with medical consultations and with providing patients follow-up and helps doctors perform transplants.

Livox is an application that shows images with activities, desires and feelings. The software is designed for people with non-verbal and learning disabilities. It uses Machine Learning and Natural Learning Processing to show images on the screen which correspond to different activities according to two factors: the time of day and the frequency with which the image is used.

Laura is a software that allows the automation of tasks in bureaucratic procedures, replacing the low value-added work that the Ministry’ employees used to perform, and solving certain internal tasks in a more agile and efficient manner.

Doc.com is a company committed to improving universal access to primary health care services. Being pioneers in a new model, eliminates many of the barriers to access such as time, location and cost. Doc.com is capable of responding medical questions that can be solved with medical advice, meaning any type of concerns addressed by a health professional without the need of a complete medical consultation.

DART is an artificial intelligence (AI) solution that has the goal of preventing the most common cause of sight loss and blindness in the working age population, diabetic retinopathy (DR). DART seeks to reduce the population´s blindness rates by improving access to preventive examination in order to detect the signs of the disease in its initial stages.

Sandigm AI is an artificial intelligence-powered drug development system, which saves time and cost. Standigm AI focuses on predicting new indications for existing drugs called drug repositioning through deeply trained AI models with molecular features of drug responses and drug uses.

Brightics AI is a prescriptive algorithm and Artificial Intelligence (AI)-based analysis platform. The platform can be applied to the various sectors ranging from manufacturing, marketing, logistics, security, IoT, health care and etc.

The Smart Home Dream House project is led by SK Telecomm together with Walk Together. It is a controlled home service via AI and IoT technology for the disabled

Fine Dust Forecast is led by the Ministry of Environment and supported by private companies, K-Weather and Korea Telecom by deploying AI technology to measure fine dust and monitor air pollution trends.

The Global Infectious Disease Prevention Project is an infectious disease tracking system based on big data and powered by artificial intelligence.

HearX is a private company specializing in smartphone-enabled diagnosis of outer/middle ear diseases. The company has partnered with the University of Pretoria and the World Health Organisation to provide affordable hearing health technologies to a wide audience that may not have access to health services.

Samsung Healthcare trialed its S-Patch electrocardiogram (ECG) monitoring devise at South Auckland’s Middlemore Hospital in 2017. The small 8-gram wearable S-Patch monitor is used to assess arrhythmia, with AI employed to translate and assess the mass of data collected by the device.

Khalifa University of Science and Technology, in collaboration with The UAE’s Ministry of Climate Change and Environment (MOCCAE) created a tool to monitor and predict the UAE’s air quality on MOCCAE’s app.

Kimetrica, a social enterprise with bases in the US, Ethiopia and Kenya, have been working on a machine learning tool, MERON - Method for Extremely Rapid Observation of Nutritional Status in order to detect malnutrition using photographs.

Co-founded in 2013 by French researchers Olivier Clatz and Pierre Fillard (former researchers at Inria), Therapixel is a French start-up company that produces software dedicated to medical imaging. Since 2016, Therapixel has been developing a new activity to help interpret medical images based on artificial intelligence to improve radiology diagnostic.

Owkin, a French private company, builds artificial intelligence-based algorithms that can interpret biomedical images, genomics and clinical data to discover biomarkers and mechanisms associated with diseases and treatment outcomes.

Formerly known as MedyMatch Technology, based in Tel Aviv, Israel, Max-Q AI is an AI-based medical imaging platform that helps with patient assessment in acute-care environments. Using AI, deep learning and machine vision, MQAI allows world-class clinical and industry partners to yield unprecedented insights into medical data and integrate into PACS systems, medical imaging hardware or healthcare clouds.

Katomi is a startup specialized in healthcare technologies. It offers an artificial intelligence-based solution for secure storage and intuitive indexing of images for medical use.

Previously, the fight against ALS has been long and hard with several expensive clinical trials not resulting in any significant breakthroughs. However, BenevolentAI are helping to change this through the use of artificial intelligence and machine learning. They use machine learning that can read natural languages, process data and generate new ideas, leading to cost and time efficiencies.

Ieso Digital Health and the NHS have partnered to help improve the treatment of mental health patients. Using a data-driven and evidence-based approach, Ieso’s technology helps to support mental health patients throughout their treatment or therapy. Artificial intelligence helps all aspects of treatment from the initial steps of finding a therapist to treatment options and post-therapy options.

FiveAI is working on developing autonomous transport across European cities with the aim of improving commuter journeys and the environmental efficiency of transport in major European capital cities.

With 45.8 million slaves estimated to be working against their will around the world, the issue of modern slavery remains constant and is always evolving. Zooniverse plans to teach artificial intelligence and machine learning to identify typical places where people work and are kept as slaves.

Seeing AI is a free app which uses artificial intelligence to narrates any environment through smartphone cameras and microphones. The app has been designed for the visually impaired community by a Microsoft Deep Vision hackathon team.

OrCam Technologies Ltd. is an Israeli-based company that produces producing wearable artificial intelligence technology for individuals who are blind, visually impaired, or simply have reading difficulties. The OrCam product is manufactured as an attachment to a person’s glasses, and uses advanced technology that enables the product to read text, recognize faces and identify objects, granting the individual a better-quality life.

The Voiceitt app uses AI speech recognition technology to allow people with non-standard and dysarthric speech to communicate more easily with others, which could help people suffering from disorders such as Parkinson’s, cerebral palsy, autism, strokes, and more. After a brief training period, the Voiceitt app can turn a user’s statements into normalized speech, which it outputs in the form of audio or text messages, instantly. Voice-controlled apps and devices can also easily understand the newly generated audio or written messages, but Voiceitt can also be used to help people with speech impediments communicate face to face with other people.

Zebra Medical Vision is an Israeli startup that uses machine and deep learning to build tools for radiologists to streamline their workflow. This imaging analytics platform helps radiologists identify patients at risk of disease and can detect signs of compression and other vertebral fractures, fatty liver disease, excess coronary calcium, emphysema and low bone density.

Niramai is a start-up that has developed the Thermalytix software which can detect early-stage breast cancer in a non-contact and non-invasive assessment using high-resolution thermal images.

The Seneka project developed a sensor network with mobile robots for the purpose of disaster management. The main objective is to create a system able to save human lives in an emergency, such as natural disasters. Therefore, utilizing sensors, communication technology elements and robots to reduce rescue time is the objective. Among the project partners is the Fraunhofer Institute.

Breeze Technologies is a German start-up which aims to make improve the quality of air in cities through low-cost sensors and a platform relying on artificial intelligence for real-time analytics.

Child Growth Monitor (CGM) is an AI-powered smartphone app that was launched by the German non-profit organization Welthungerhilfe. The app allows individuals to scan children and detect malnutrition.

Ada Health is a private company with a widely used AI-powered health platform that provides medical advice and assessment to individuals. The company launched the Global Health Initiative (GHI) in partnership with the Bill & Melinda Gates foundation and the Fondation Botnar, to provide free access to a health guide app to help people in regions with poor health service delivery.

The TOXI-triage, funded by the European Union’s flagship “Horizon2020” research program, intends to set up integrated and adaptive responses to toxic emergencies in case of chemical, biological, radiological and nuclear (CBRN) threats. It seeks to deliver quicker situational awareness through various embedded sensors, drones, standoff detectors (including cameras), artificial intelligence for processing sensor signals and web-traffic from social media, and centralized command and control.

AI-medicare is an artificial intelligence engine which aims to facilitate rapid and low cost development of specialist e-health applications for more efficient decision-making in medical pre-diagnosis. The project has been funded by the European Union’s flagship “Horizon2020” research program and brings together professionals from different backgrounds. It currently operates from Poland. The project contributes to the UN’s priorities to optimize healthcare solutions and enhance the well-being of the population worldwide.

The I-VALVE project seeks to make driving safer and reduce mortality from preventable road traffic accidents. The project seeks to use artificial intelligence in innovation around the deployment of airbags and aims to optimize the functioning of existing technologies, taking into consideration and assessing external circumstances and personal parameters which can save passengers’ lives.

The OpenAg project aims to build a healthier and more sustainable food system across the world by creating an open-source ecosystem of data and “food computers” that use artificial intelligence to record, process, and share extensive data about the best growing techniques and conditions for plants. This allows people to experiment, educate, and produce food hyper-locally in a transparent and well-connected network across the globe.

This project would use artificial intelligence to automatically extract hidden topics from these Web-based physician reviews, using text-mining techniques to examine what Chinese patients have said about their doctors and whether these topics differ across various specialties. This knowledge will then help health care consumers, providers, researchers, and other stakeholders better understand this information.

SigTuple is a healthcare start-up which uses artificial intelligence to build affordable medical diagnosis solutions using a microscope, a smartphone app and cloud-based engine for analysis and reporting.

De-Enigma is project established by a consortium of European universities, non-governmental organisations and public agencies, aiming to develop an emotion recognition and emotion expression commercial robot to teach school-aged autistic children.

Hujiang proposed AI technologies based systems to enhance learners' learning efficiency.

China started to work with 60,000 schools for automatic essay correction, with a level of precision matching humans in 92% of the cases.

Plan Ceibal in Uruguay introduced Mathematics Adaptive Platform, which has been adapted to the national curriculum. It is a tool that provides personalized feedback according to each student's skill level based on an analysis of student experiences.

In Brazil, the federal government created Mec Flix as a state educational platform. It is a video content platform designed to prepare students for the national higher education examination.

IBM introduced SimplerVoice: a key message and visual description generator system to help low-literate adults navigate the information-dense world with confidence on their own.

Xiaoyuan Kousuan had gained increasing popularity in China since its launch a year ago. It claims to have checked an average of 70 million arithmetic problems per day, saving users around 40,000 hours in total.

Knewton provides adaptive learning technology to bring customized education to people all around the world. Education companies, schools, and teachers all use Knewton to run their digital course media and tailor materials to students' needs. The platform helps improves pass rates, motivates students, and helps them get better exam scores.

Mindojo is an intelligent learning platform. It's simple, you map out the content of your course, and Mindojo creates a chat-like learning process, personalized for each of your students. As students learn, Mindojo both adapts better to students and improves your content.

In Brazil, an EdTech company Geekie the adaptive learning platform in Brazil accredited by the country's Ministry of Education – is used by over 5,000 schools across the country to provide customized learning experiences for students.

The AIY Vision Kit from Google lets you build your own intelligent systems that can see, speak, and recognize objects using machine learning. Everything you need is provided in the kit.

The Hangzhou No. 11 Middle School has established a "smart classroom behavior management system," which captures students' expressions and movements, analyzing them with big data to make sure they're paying attention.on of privacy.

Iris.ai uses Natural Language Processing technologies to review massive collections of research papers or patents to find the right documents, extract all their critical data, or identify the most precise pieces of knowledge.

iFLYTEK continues to use AI technology to help poverty areas solve educational and medical difficulties.

Using Cycle-Consistent Adversarial Networks and climate models, researchers create an educational tool that will produce accurate, vivid, and personalized street-view images of houses after extreme weather events, so as to raise public awareness and conceptual understanding of climate change.

Published in 2019

Chilean researchers used open data published by the government regarding social, geographical and educational contexts to predict student dropout.

Published in 2016

In the United Arab Emirates (UAE), the Ministry of Education rolled out an advanced data analytics platform with over 1,200 schools and over 70 higher education institutions, totalling over 1.2 million students.

Published in 2017

In Guayaquil, Ecuador, the project “Más Tecnología” introduced computers for students with a software that personalises curriculums based on the results of assessments in language and mathematics.

Published in 2010

M-Shule is the first adaptive, mobile learning management platform designed to improve performance for millions of primary school students across Kenya and Sub-Saharan Africa. They know that different learners have different abilities, needs, strengths and goals.

Published in 2016

Daptio uses artificial intelligence to help students, mentors and teachers to understand the proficiency level of each student and then match the relevant content.

Published in 2013

On August 24th, the global online education "unicorn" enterprise iTutorGroup celebrated its 20th anniversary in Taipei. Founder and CEO Dr. Eric Yang laid out the company's blueprint for strategic development as he talked about AI and education with the world's first robot citizen Sophia. iTutorGroup 'hired' Sophia as the first-ever AI tutor and invited her to explore the new era of online educa

Published in 2018

Otsu, a Japanese city, plans to use AI to predict how suspected cases of school bullying might evolve in the future.

Published in 2018

With the emergence of large telescopes and astronomy cameras, the community of astronomers requires the implementation of a new generation of astronomy brokers, which are systems that serve as intermediaries between large survey telescopes, those that monitor the sky searching for new astrophysical events, and follow-up telescopes, those that observe interesting events to characterize them and understand their physical properties. Currently, these telescopes can produce up to 1 million events per night and are expected to reach up to 10 million events per night in the upcoming years. These events must be distributed among the community through the transmission of data streams so they may be captured, annotated and classified by astronomy brokers.

U-planner is a Latin American company with headquarters in Chile, which provides advanced analysis and AI solutions for the management and operations of universities in several countries. They work with some of the best universities in Latin America such

Given a migrant and a job on the Internet that he/she wishes to perform, the digital tools learn the sequence of micro-tasks best suited to help this individual develop the digital skills needed to complete the work. Since workers help each other to recommend which micro-tasks must be implemented to develop certain digital skills on the job (workers coach and train one another), the system uses this information to learn which types of tasks are more convenient for developing specific skills, and then recommends these tasks to other workers so they develop them and access better salaries. Up to now, the tools have helped training hundreds of workers in thousands of different digital tasks. This has also helped workers access better paid job opportunities (because they now have more specialized skills). The intelligent tools have been awarded honorable mentions in conferences and scientific journals such as the Conference on Human-Computer Interaction of the Association for Computing Machinery (ACM CHI) and the World Wide Web (WWW).

Talov created two applications to promote the inclusion of people with hearing and visual impairments, improving their communication. These apps use Artificial Intelligence to generate accessibility tools that are compatible with mobile phones to help people with hearing and visual disabilities to raise their levels of independence in their daily tasks. Through the camera and microphone of the mobile phone, users can have access to audiovisual tools that provide them with the means of getting around more easily. This helps them overcome the challenges of daily communication; and to become more and more free and independent.

Since 2013, the Ceibal Plan offers PAM licenses to all Primary School students and teachers, and to all Middle School students and Mathematics teachers. Containing specific contents for students ranging from 3rd grade of primary school to 3rd grade of middle school, the Ceibal Plan has undergone a comprehensive process of adaptation of it platform, both in terms of its integration with other systems and the adaptation of its contents.

1DOC3 is an affordable online portal for medical consultations which offers this service to 1 million people every month. 1DOC3 uses technology to optimize a physician´s time by performing a real-time remote and personalized check-up of symptoms, a triage and a pre-diagnosis for each case using AI.

The mission of Portal Telemedicina is to guarantee universal access to quality healthcare, through a platform that delivers reliable, fast and affordable diagnostics allowing physicians to deliver diagnostics online. Telemedicina helps small clinics to expand their diagnostic services through the portal which includes access to experts and AI models.

Livox is an application that shows images with activities, desires and feelings. The software is designed for people with non-verbal and learning disabilities. It uses Machine Learning and Natural Learning Processing to show images on the screen which correspond to different activities according to two factors: the time of day and the frequency with which the image is used.

COMPASS Inc. developed Qubena, a tablet-form educational device for mathematics that utilizes artificial intelligence to support individual learning. The device provides math problems that are optimized to the student’s learning process by matching the problem with the ability of the student and gearing questions to direct address their weak points. The company is promoting the wide use of the device by making versions with affordable prices as well as offering Qubena to NPOs.

Seeing AI is a free app which uses artificial intelligence to narrates any environment through smartphone cameras and microphones. The app has been designed for the visually impaired community by a Microsoft Deep Vision hackathon team.

Cognii is a provider of artificial intelligence-based educational technologies, working with organizations in the K-12, higher education, and corporate training markets to help deliver superior learning outcomes and cost efficiency. Its products include the Cognii Learning Platform, Virtual Learning Assistant, and Assessment Engine.

The project is a machine learning framework to identify students at risk of not finishing high school on time includes problem formulation, feature extraction process, classifiers, and evaluation criteria, laying a foundation for future machine learning studies on other adverse academic outcomes.

Quicksilver is a software tool designed to help Wikipedia editors fill in blind spots in the encyclopedia. It uses machine-learning algorithms to scour news articles and scientific citations to find notable scientists missing from Wikipedia, and then write well-sourced draft entries for them.

De-Enigma is project established by a consortium of European universities, non-governmental organisations and public agencies, aiming to develop an emotion recognition and emotion expression commercial robot to teach school-aged autistic children.

This project highlights the life stories of women scientists who won the Noble Prize, and discovers the deep connections of these women.

The project provides APIs to help companies and organizations to measure the gender gap by big data analysis.

The group the organizations take action to help women in tech careers, including the AI domain.

The project mainly provides digital tools for women to learn and enhance working techniques.

The project aims to provide 100% founded scholorship for women in AI AI Engineer Bootcamp.

This project uses artificial intelligence to help realize and uphold child rights.

This project provides a fee-based website to help domestic violence survivor to file the legal paperwork for a restraining order against an abuser.

This project describes and provides a smart intelligence security device to protect India women from rape.

Published in 2018

Google's Women Techmakers program provides visibility, community, and resources for women in technology.

The organization is founded by a famous female scientist, Joy Buolamwini, to develop existed algorithms to overcome the large racial and gender bias, especially facial recognition technologies.

IALAB is an initiative whose purpose is to generate disruptive high-impact solutions in the Administration and Justice, to guarantee the effectiveness of people´s rights. Prometea, an artificial intelligence system for transforming public organizations, was developed in this context of innovation within the scope of the Public Prosecutor´s Office. It is a system that combines smart detection, prediction and smart assistance to automate the creation of documents, perform intelligent searches and assist in data control.

ParaEmpleo is the first digital platform in the Latin American market that can make a job match through the use of algorithms free from discrimination in real time and available to any player in the job market without compromising the privacy or routine operating mode of users. It is unrestricted, free of charge and available in a mobile version.

Niramai is a start-up that has developed the Thermalytix software which can detect early-stage breast cancer in a non-contact and non-invasive assessment using high-resolution thermal images.

Quicksilver is a software tool designed to help Wikipedia editors fill in blind spots in the encyclopedia. It uses machine-learning algorithms to scour news articles and scientific citations to find notable scientists missing from Wikipedia, and then write well-sourced draft entries for them.

Garbage sorting automation is one of the Baidu Star Plan projects. The garbage classification automatic scheme created by Baidu flying paddle ability and model was trained by using the object detection and image segmentation model of flying paddle.

CleanRobotics is dedicated to Creating sustainable, innovative, tech-driven solutions to persistent environmental problems. It is opening up a new program to replace all of your facilities waste stations with TrashBots for free.

RemixWater is one of Hitachi's products. It is an integrated system of seawater desalination and water reuse using artificial intelligence technology to develop detailed indicators. The system aims to save energy and costs by mixing seawater and wastewater.

ConserWater is a platform using satellite data and AI to help farmers reduce water wastage and predict exactly how much water farmers need to give to their crops at any time. It also includes AI-based irrigation recommendations, plant disease detection, irrigation leak detection, farm-specific weather, and so on.

The RUBSEE project is a real time monitoring system using AI and computer vision to follow waste management processes in waste treatment plants. It aims to optimize the waste industry s environment and improve its economic and regulatory compliance.

WINT uses artificial intelligence to detect water waste and leaks in real-time and can alert the user about the leakage of water and shut it down automatically at the source with higher precision compared to staff. It not only conserves water resources but also prevents damages caused by water leaks in commercial and government buildings and infrastructures.

Published in 2018

EQwater is a project using data analytics and machine learning to identify inequities in water distribution and develop data-based recommendations to resolve them.

Published in 2017

This project will assimilate data from disparate sources, using Microsoft Azure resources to host and deploy machine learning models, then create a dashboard that people can interact with on a server. It will provide regulators, advocacy groups, and the public with scientifically informed estimates of the impact of extreme drought events on drinking water availability.

Published in 2019

BasinScout Platform uses satellite data and machine learning to help identify the best places to improve groundwater and surface water quantity and quality， and address pressing watershed management needs.

At an RDS of Virginia recycling center in Roanoke, two spider-like, 300-pound robots sort through an unending line of trash. One robot’s skinny leg, which relies on computer vision to detect recyclables, plucks a hunk of blue plastic off a conveyor belt, while the other’s grabs a piece of an old water bottle. The machine then places those bits into sorting bins using a vacuum gripper.

Published in 2020

Lawuna helps detect and monitor macro-pollutants on the shores of freshwater bodies using real-time drone and smartphone imagery. The goal of this project is to establish a freshwater contaminant monitoring system and empower communities with rich, open environmental data while restoring freshwater bodies from extreme damage caused by excessive danges of macro-pollutants.

Published in 2020

Hundreds of previously unreported releases of raw sewage into UK rivers have been detected using the pattern recognition and machine learning approach. "Using 11 years of flow data from two plants, which the researchers did not identify in their study, the algorithm 'recognized' 926 cases where untreated sewage was being released for at least three hours."

Published in 2021

RemixWater is a seawater desalination and water reuse integrated system that aims to save energy and cost through mixing seawater and waste water prior to desalination. The system incorporates artificial intelligence to develop detailed indexes that allow for improved management of the system, including identification of potential fouling (the buildup of unwanted materials on solid surfaces that would detriment the function of water systems).

ConserWater is a water conservation platform using satellite data and artificial intelligence to help farmers reduce water wastage and distribute their water resources adequately and efficiently across different types of crops.

BoniRob has been developed by students of the University of Osnabrück together with the companies Bosch and German agricultural company Amazone. BoniRob is an agricultural robot that detects weeds using camera technology and image recognition, and then drives a bolt into the ground to remove the plant.

The TOXI-triage, funded by the European Union’s flagship “Horizon2020” research program, intends to set up integrated and adaptive responses to toxic emergencies in case of chemical, biological, radiological and nuclear (CBRN) threats. It seeks to deliver quicker situational awareness through various embedded sensors, drones, standoff detectors (including cameras), artificial intelligence for processing sensor signals and web-traffic from social media, and centralized command and control.

The RUBSEE project brings artificial intelligence to the field of waste management and goes beyond sorting, by monitoring in real time the waste flow processed by waste treatment plants. It is operated by the Barcelona-based company SADAKO TECHNOLOGIES and they carry out their activities mainly in Spain.

Kilimo assists agricultural producers to optimize water usage in their production process. By compiling field data and combining them with our big data from our historical collection, satellite images, machine learning and other processing and forecasting tools, our proprietary software provides: i) A 7-day estimate of crop water consumption ii) Periodic summarized advice for producers written in simple language about the required amount of water in every field to achieve their production goals iii) Risk-related information about irrigation for company intelligence

Organization: RanMarine RanMarine's data-driven automation technology creates this opportunity by cleaning and monitoring our waters, with the goal of enabling people and organizations around the world to restore the natural state of the marine environment. RanMarine provides customers with the ability to collect data from their waterways while removing hazardous waste and biomass from the water. The ability to measure data at multiple path points, recycle plastic waste and biomass, and at the same time understand the composition of urban water in a more in-depth way are crucial to modern urban life. WasteShark is one of RanMaine's products, which is used to remove plastic, biological waste and other waste from waterways. It is an autonomous surface ship with high efficiency, long life, non-threatening and unobtrusive design. WasteShark is an intelligent cleaning technology tool used to remove plastic, biological waste and other waste from waterways. Universal garbage and data collection ASV can be applied to urban, rural, industrial and leisure environments.

The Google.org Climate Impact Challenge Project has committed 10 million euros to fund bold ideas aimed at using technology to accelerate Europe towards a greener and more resilient future. The selected organizations may receive up to 2 million euros of funds and customized post-grant support from Google Entrepreneurship Accelerator to help turn their ideas into reality. The following are the selected projects of the climate impact challenge at Google.org. These organizations have received funding of 500000 to 2 million euros and support from Google. (11 in total) 1) Energy Web (EW): introduce energy stored in distributed energy into the grid Country: Switzerland EW is a global non-profit organization, accelerating the establishment of a low-carbon, customer-centric power system by releasing the potential of open source and decentralized technology. 2) Climate Farmers: tackling climate change through renewable agriculture Country: Germany Through the development of soil carbon monitoring system, establish an effective agricultural carbon market, and help European farmers transition to renewable practices 3) Materiom: Accelerate the research and development of biomaterials through the use of artificial intelligence and distributed testing Country: UK Create an open library of bioplastics "formulas" - scientific building blocks for manufacturing compostable packaging materials - to double the innovation speed of high-performance, low-carbon compostable materials. 4) Normative: help companies reduce their carbon footprint through financial reporting Country: Sweden Together...

ANM tracks how the grid interacts with different energy loads to adjust its components and to achieve efficiency gains. When a new energy producer (such as a solar plant) starts working, or new energy consumers begin to connect to the grid, the ANM adjusts the grid accordingly. Therefore, ANM also lays the foundation for electric vehicles to be charged using the smart grid.

Published in 2017

SparkCognition combines parsimony, sensors and data generated from operations to predict when critical infrastructure will collapse.

Published in 2017

The company has launched an AI-based diagnostic and optimization solution that captures and analyzes all the production data of a solar power plant, and daily management is optimized and guided.

Published in 2015

Nnergix company uses both satellite data and machine learning (ML) algorithms for more accurate prediction of energy production. The satellite data is generated from satellite images and they are are prepared for large-scale and small-scale weather models.

Published in 2013

Tech giants such as Google, Amazon and Microsoft are providing cloud computing services and AI support for oil and gas companies. It not only accelerates the location and extraction of fossil fuels but also makes them appear on the market faster and cheaper. According to GreenPeace reports, these technology companies have contradicted with their commitments to address climate change.

Published in 2020

From machine learning to computer vision, deep learning to virtual assistants and autonomous vehicles to robotics, Shell has been focused on a range of technologies that have supported advances in AI. Including exploration production and maintenance with less emission, and EV cars recharging with lower costs.

Published in 2018

Brightics AI is a prescriptive algorithm and Artificial Intelligence (AI)-based analysis platform. The platform can be applied to the various sectors ranging from manufacturing, marketing, logistics, security, IoT, health care and etc.

E-brain is a Korea Telecom’s (KT) artificial intelligence-powered energy analytics platform. Capable of machine learning, KT’s e-Brain is able to factor weather, usage patterns and profitability to generate its own prediction models that enable efficient management of energy generation, energy consumption, energy trading and vehicle charging.

ENNET Corporation, an energy company, is collaborating with COzero, a venture company in Australia, to create an energy management system for corporations, that utilizes artificial intelligence. The system analyzes energy use throughout the day and provides timely notifications and advice on how to reduce it. The system is based on COzero’s EnergyLink platform and has been adapted to the Japanese market. It is offered as a paid service to ENNET’s customers.

ENIT Systems is a German start-up that offers an intelligent solution to save energy. With the ENIT Agent, the company offers a full-fletched energy solution for monitoring electricity, heat, gas, steam or water consumption in companies. By integrating data logger, gateway, database, server and analysis software in one device, the ENIT Agent is a new concept in regards to energy management.

Ecojoko, a French private company, partners with Mr. Frédéric Magoules, Professor at the Department of Mathematics and Computer Science of Complex Systems at CentraleSupelec (Paris-Saclay University) to reduce CO2 emissions for residential buildings using artificial intelligence algorithms.

The U.S. Department of Energy (DOE) is leading the Grid Resilience and Intelligence Project (GRIP), which will help electric grids handle power fluctuations, avoid failures, resist damage, and recover faster from major storms, cyberattacks, solar flares, and other disruptions. GRIP will use predictive analytics, machine learning, and artificial intelligence, which will help anticipate and recover from grid events and disruptions more quickly.

National Grid ESO is the UK power system operator. Transport electricity in the UK's electricity system to ensure that households and businesses can get the energy they need 24 hours a day, 365 days a year. It includes regional carbon emission intensity prediction: <li>Forecast the carbon intensity of electricity and fuel consumption in 14 regions 4 days in advance</li> <li>Classification of fuel types in demand mix</li><li>Reduce GB power system 14 bus network</li>

PowerTAC is an open source platform to support the competition of power trading agents driven by artificial intelligence to explore how the digital information system can integrate sustainable energy into the existing power market in a profitable way. PowerTAC simulates the high complexity of contemporary and future power markets and allows large-scale experiments. To predict the charging behavior of electric vehicles under the new business model: PowerTac platform can simulate the complex interaction between market participants with the ability to charge at home, work or on the road, as well as the complex interaction between enterprises that will use their fleets for electricity market arbitrage and transportation. Predict the performance of your business model in a rapidly changing market. Forecast industrial power consumption: The emergence of independent information system management and the steady decline of investment costs in renewable energy production make the potential of viable and profitable industrial power cooperatives interesting. Use the PowerTAC platform to forecast the value of local cooperatives. Simulate the results of policy changes in a complex environment Changes in renewable energy policies often have unexpected consequences. The infamous Enron scandal, which caused the instability of California's electricity market, is in part due to an unnoticed flaw in a policy design. Use PowerTAC platform to prevent unexpected consequences, and pay attention to design defects by simulating market behavior.

Google uses about 12.7 TWh of electricity every year, less than 1% of which is used to train the model we need to calculate most. In order to minimize the energy use of machine learning, we need not only efficient models, but also efficient processors and data centers to train and service them. Google's Tensor Processing Units (TPUs) are specially designed for machine learning, which makes their efficiency five times higher than that of off-the-shelf processors. The efficiency of the cloud computing data center containing these TPUs is twice that of the typical enterprise data center. Models, chips, data centers, and energy - all have a considerable impact on the cost of developing machine learning systems. The correct combination of these four factors can reduce the carbon footprint of training a machine learning system by 1000 times.

WattTime is a non-profit organization whose purpose is to make it easier for manufacturers and operators of smart devices to achieve environmental protection without affecting the performance of the device, user comfort and even cost. WattTime packaged it into a set of simple tools called Automatic Emission Reduction (AER), such as real-time and predictive emission data through our API. AER does not affect energy cost, device function and experience, and is easy to update software. Based on real-time grid data, cutting-edge algorithms and machine learning, WattTime technology provides real-time, predictive and historical marginal emission data for power grids around the world. Official website: https://www.watttime.org/ The following are two cases of cooperation with WattTime: - Case 1: LME: increase the availability of high-quality marginal carbon emission data Organization: Resurety, WattTime Time: November 2, 2021 The clean energy analysis company Resurety and the non-profit environmental technology organization WattTime announced the establishment of a partnership to increase access to more comprehensive and fine-grained carbon emission data in the United States and the international market. Resurety launched its LME data product for the first time in July 2021. LME enables customers to measure and maximize how much carbon emissions they have reduced by purchasing clean energy. Link: Resurety and WattTime partner to increase accessibility to high-quality marginal carbon emissions data – Watttime - Case 2: Carbon Tracker project: satellite-based power plant monitoring...

Since 2016, the open source visualization of electromap has been used by millions of people, from students to world leaders, to understand the impact of global electricity use on climate. The platform provides operable data and quantifies the hourly carbon-intensive electricity in more than 50 countries. These data can be accessed through historical, real-time or future 24-hour forecasts. Link 1: https://www.electricitymap.org Link 2: ElectricityMap API The following are some application cases: Case 1: Ember uses the electricityMap API to illustrate the trend of the global power system. Ember is an independent climate and energy think tank, focusing on accelerating the transformation of global electricity from coal to clean. Case 2: Barry, a Danish electricity retailer, is using the electricityMap API to show customers the carbon footprint of their electricity. Case 3; Lancy Energy Storage, an electric radiator start-up, uses the electricityMap API to optimize and reduce the carbon footprint of its products.

The State Grid ESO, in cooperation with the European Environmental Protection Fund, the Department of Computer Science of Oxford University and the World Wide Fund for Nature (WWF), has developed the world's first carbon intensity prediction with regional decomposition. The carbon emission API uses the most advanced machine learning and complex power system modeling to predict the carbon intensity and power generation combination of each region in the UK 96 hours in advance. The carbon intensity forecast only includes carbon dioxide emissions related to power generation. This includes emissions from all large metered power stations, import of interconnections, loss of transmission and distribution, as well as national power demand, embedded wind and solar power generation. WWF has applied this API to a reusable widget, which can help people plan their energy use, turn on the device when the energy is green, and turn off the device when the energy is not green.

The Google.org Climate Impact Challenge Project has committed 10 million euros to fund bold ideas aimed at using technology to accelerate Europe towards a greener and more resilient future. The selected organizations may receive up to 2 million euros of funds and customized post-grant support from Google Entrepreneurship Accelerator to help turn their ideas into reality. The following are the selected projects of the climate impact challenge at Google.org. These organizations have received funding of 500000 to 2 million euros and support from Google. (11 in total) 1) Energy Web (EW): introduce energy stored in distributed energy into the grid Country: Switzerland EW is a global non-profit organization, accelerating the establishment of a low-carbon, customer-centric power system by releasing the potential of open source and decentralized technology. 2) Climate Farmers: tackling climate change through renewable agriculture Country: Germany Through the development of soil carbon monitoring system, establish an effective agricultural carbon market, and help European farmers transition to renewable practices 3) Materiom: Accelerate the research and development of biomaterials through the use of artificial intelligence and distributed testing Country: UK Create an open library of bioplastics "formulas" - scientific building blocks for manufacturing compostable packaging materials - to double the innovation speed of high-performance, low-carbon compostable materials. 4) Normative: help companies reduce their carbon footprint through financial reporting Country: Sweden Together...

The smart meter combined with machine learning analysis is an electronic device that records the user's energy consumption data at an hour or shorter interval and transmits it to the public utility. In addition to saving the process of manual meter reading, it can also enable power companies to monitor energy use in real time. Smart meters generate a large amount of data that can be used to improve energy management, thereby reducing costs and reducing carbon emissions. When applied to smart meters and socio-economic data, these algorithms will forecast demand and peak load; Determine regional, seasonal and community consumption patterns; Make utilities meet the expected demand to reduce waste; Help consumers plan their electricity consumption to reduce demand and reduce carbon emissions.

The AIY Vision Kit from Google lets you build your own intelligent systems that can see, speak, and recognize objects using machine learning. Everything you need is provided in the kit.

The conference topic is focused on the fight against forced labor, modern slavery, human trafficking, and child labor with artificial intelligence and computational science。

SIEAERO is a smart analytic software developed by Siemens for overhead line inspection. It leverages UAVs, AI, and digital to improve service of transmission lines. SIEAERO service is fully automated, faster, and more precise. It reduced the time for flight execution and data analysis from weeks or even months to a few days.

EARN developed a policy brief for businesses interested in AI to benefit is to guarantee the right of people with disability.

According to estimation from market research institutions, up to 50 percent of most activities can be automatic by AI robots. That means labors will have more time to assess the results, advise customers or patients, or recognize and foster the abilities of our employees. As AI is widely deployed in enterprises, new jobs are being created, and others are less needed, others are changing.

Japanese entrepreneur Miku Hirano founded the enterprise, Cinnamon, using artificial intelligence to help relieve the burden on the Japanese worker and restore work-life balance.

A free tool was developed by Google and Management of the Politecnico University of Milan to evaluate their readiness for artificial intelligence and to understand how to make the most of the solutions offered. AI can help growing benefits for the thousands of small- and medium-sized businesses.

In Chile, AI brings up new opportunities in several industries and Working together with many industries to supporting the development of cities to help everyone succeed.

FarmLogs is a free platform using AI to help farmers increase profitability and reduce waste. FarmLogs contains four products: FarmLog Lite(free), FarmLogs Essentials, FarmLogs Complete, Add-Ons.

In the case of this service, Abu Dhabi National Oil Company (ADNOC) and IBM co-created a recognize software for classifying the characteristics of rock samples. This software is a faster and more accurate tool to classify rock samples to preserve geologists’ time and to help determine the best locations to fulfill their drilling strategy.

Using AI-powered vision replace traditional machine-vision technology in the automotive industry to inspect the surface defects such as auto-body scratches and part defects like panel splits, cracks, inner-fin defects, defective automotive vents, etc. AI-powered vision performs is much better than the traditional rule-based machine vision in drastically lowering (up to 90% in some cases) the numbe

Using satellites and AI to preserve biodiversity, protect livelihoods, and prevent slave labor in the seafood industry.

Published in 2014

Crayon is an AI-powered analysis tool which helps small enterprises to keep track of the digital movements of their competitors from hundreds of millions of sources. It analyzes the strengths and weaknesses of other companies by monitoring and investigating the price fluctuation, the market campaigns, customer feedback, etc. The users could adjust their strategies according to the market trends di

MonkeyLearn is a platform which provides tools that allow users to train artificial intelligence agents within a few hours without the need for coding ability or expertise in machine learning. Instead of hiring data scientists and market experts, small enterprises can easily incorporate AI in their business by merely feeding the customer data into the easy-to-use interface provided by MonkeyLearn.

The AI Economist uses a Reinforcement Learning framework in simulated economies to learn dynamic tax policies, providing a purely simulation-based and data-driven solution in finding a tax policy that optimizes equality along with productivity. The simulations may help to improve policy impact and social outcomes in real-world economies.

Published in 2020

Willow , Woodside developed their own cognitive assistant based on Watson deep learning artificial intelligence platforms. In deployed Watson systems, Willow could work across and outside them. Using simple, natural language voice or text commands, Willow clearly knows which system holds the information we need, or related information lives in several systems, drawing relevant answers from our 64-

Einstein AI, proposed by SalesForce, is an artificial intelligence system embedded inside the SalesForce CRM system that can help small and medium-sized businesses to explore and analyze customer data and to focus on marketing. It integrates multiple AI technologies to extract customer preference from their phone conversations, emails and even social media posts so that the salespersons could comm

Published in 2016

Artificial intelligence is likely to affect the entire landscape of insurance as we know it.In this article we look at three key ways that AI will drive savings for insurance carriers, brokers and policyholders, plugging into existing transformations within the insurance industry

Published in 2020

At an RDS of Virginia recycling center in Roanoke, two spider-like, 300-pound robots sort through an unending line of trash. One robot’s skinny leg, which relies on computer vision to detect recyclables, plucks a hunk of blue plastic off a conveyor belt, while the other’s grabs a piece of an old water bottle. The machine then places those bits into sorting bins using a vacuum gripper.

Published in 2020

Walmart wants to learn whether robotic deliveries fit in with its retail operations so it’s launching a pilot program with General Motors backed Cruise using the tech startup’s electric, self-driving to haul groceries and other goods to suburban Phoenix customers.

Published in 2020

On August 24th, the global online education "unicorn" enterprise iTutorGroup celebrated its 20th anniversary in Taipei. Founder and CEO Dr. Eric Yang laid out the company's blueprint for strategic development as he talked about AI and education with the world's first robot citizen Sophia. iTutorGroup 'hired' Sophia as the first-ever AI tutor and invited her to explore the new era of online educa

Published in 2018

March 30, 2020 – Asia's leading artificial intelligence (A.I.) and speech technology company, iFLYTEK has partnered with the South Korean technology company, Hancom Group, to launch the joint venture Accufly.AI in South Korea.The A.I. Outbound Calling System is a smart, integrated system that is based on iFLYTEK solutions and Hancom Group's Korean-based speech recognition. .

Published in 2020

The World Health Organization reports that more than 160 million people are affected by natural disasters annually. Estimates from the World Bank also suggest that 26 million people are forced below the poverty line annually due to natural disasters. Technological advancements with artificial intelligence (AI) aiding natural disasters may help countries with their response to such catastrophic ev

Published in 2020

Paraguay has a broad rural social group with modest means and reduced access to financial leverage to help them get out of that situation through loans or technical assistance. Furthermore, it is common for these individuals to be registered in a credit bureau or identified with a high financial risk which prevents them from accessing new financing to make investments.

ParaEmpleo is the first digital platform in the Latin American market that can make a job match through the use of algorithms free from discrimination in real time and available to any player in the job market without compromising the privacy or routine operating mode of users. It is unrestricted, free of charge and available in a mobile version.

Given a migrant and a job on the Internet that he/she wishes to perform, the digital tools learn the sequence of micro-tasks best suited to help this individual develop the digital skills needed to complete the work. Since workers help each other to recommend which micro-tasks must be implemented to develop certain digital skills on the job (workers coach and train one another), the system uses this information to learn which types of tasks are more convenient for developing specific skills, and then recommends these tasks to other workers so they develop them and access better salaries. Up to now, the tools have helped training hundreds of workers in thousands of different digital tasks. This has also helped workers access better paid job opportunities (because they now have more specialized skills). The intelligent tools have been awarded honorable mentions in conferences and scientific journals such as the Conference on Human-Computer Interaction of the Association for Computing Machinery (ACM CHI) and the World Wide Web (WWW).

Talov created two applications to promote the inclusion of people with hearing and visual impairments, improving their communication. These apps use Artificial Intelligence to generate accessibility tools that are compatible with mobile phones to help people with hearing and visual disabilities to raise their levels of independence in their daily tasks. Through the camera and microphone of the mobile phone, users can have access to audiovisual tools that provide them with the means of getting around more easily. This helps them overcome the challenges of daily communication; and to become more and more free and independent.

Sandigm AI is an artificial intelligence-powered drug development system, which saves time and cost. Standigm AI focuses on predicting new indications for existing drugs called drug repositioning through deeply trained AI models with molecular features of drug responses and drug uses.

Brightics AI is a prescriptive algorithm and Artificial Intelligence (AI)-based analysis platform. The platform can be applied to the various sectors ranging from manufacturing, marketing, logistics, security, IoT, health care and etc.

E-brain is a Korea Telecom’s (KT) artificial intelligence-powered energy analytics platform. Capable of machine learning, KT’s e-Brain is able to factor weather, usage patterns and profitability to generate its own prediction models that enable efficient management of energy generation, energy consumption, energy trading and vehicle charging.

In March 2017, Saga Prefecture, Saga University, Saga Prefecture Fishery Cooperative Federation, Norinchukin Bank, NTT Docomo, Co. and OPTiM Co. signed the “Six-Party Agreement for the use of IoT” to promote the use of advanced technology, including artificial intelligence, for seaweed production in Ariake sea area around Saga prefecture. They have conducted field trails to predict and manage crop diseases and red tides. OPTiM offers its artificial intelligence system for the analysis of the data collected through drones and sensors around farms

Shizuoka University is working on a project that uses artificial intelligence to support agricultural production by automating certain processes involved. The system aims to inform farmers of the appropriate time to water tomatoes and to assist in the sorting of cucumbers in the pre-sale process.

The ai tomato Project aims to utilize artificial intelligence and big data to accurately understand plant growth, and visualize such data and analytics for better understanding and actionable next steps to decrease working hours by 10 percent and improve the value chain in the agriculture industry.

Future University Hakodate’s Marine IT Lab is working with the Graduate School of Hokkaido University, Muroran Institute of Technology, and Hitachi Ltd. to develop an artificial intelligence system that supports sustainable and effective fishery by predicting fishing grounds and making informed decisions during fishing processes.

FiveAI is working on developing autonomous transport across European cities with the aim of improving commuter journeys and the environmental efficiency of transport in major European capital cities.

Fasal Salah is an informative free to use app which is designed to help farmers by providing real time personalized crop advisory based on current and forecasted weather.

FarmLogs is a free platform that was developed to improve efficiency in farm management for farmers.

Cognii is a provider of artificial intelligence-based educational technologies, working with organizations in the K-12, higher education, and corporate training markets to help deliver superior learning outcomes and cost efficiency. Its products include the Cognii Learning Platform, Virtual Learning Assistant, and Assessment Engine.

The OpenAg project aims to build a healthier and more sustainable food system across the world by creating an open-source ecosystem of data and “food computers” that use artificial intelligence to record, process, and share extensive data about the best growing techniques and conditions for plants. This allows people to experiment, educate, and produce food hyper-locally in a transparent and well-connected network across the globe.

The U.S. Department of Energy (DOE) is leading the Grid Resilience and Intelligence Project (GRIP), which will help electric grids handle power fluctuations, avoid failures, resist damage, and recover faster from major storms, cyberattacks, solar flares, and other disruptions. GRIP will use predictive analytics, machine learning, and artificial intelligence, which will help anticipate and recover from grid events and disruptions more quickly.

Plantix is a free app powered by deep neural networks, built to help farmers, to distinguish between different patterns that are left by plant diseases, pest or nutrient deficiencies.

In a global market that makes room for more competitors by the day, some companies are turning to AI and machine learning to try to gain an edge. Supply chain and inventory management is a domain that has missed some of the media limelight, but one where industry leaders have been hard at work developing new AI and machine learning technologies over the past decade.

Published in 2019

The AIY Vision Kit from Google lets you build your own intelligent systems that can see, speak, and recognize objects using machine learning. Everything you need is provided in the kit.

Aerobotics uses drone imagery and artificial intelligence to monitor crops and warn about potential risks, early pest, and disease detection.

This system aims to make roads safer by sending alerts of crashes and illegal driving and to improve traffic management by counting and identifying vehicles and pedestrians.

Iris.ai uses Natural Language Processing technologies to review massive collections of research papers or patents to find the right documents, extract all their critical data, or identify the most precise pieces of knowledge.

In the case of this service, Abu Dhabi National Oil Company (ADNOC) and IBM co-created a recognize software for classifying the characteristics of rock samples. This software is a faster and more accurate tool to classify rock samples to preserve geologists’ time and to help determine the best locations to fulfill their drilling strategy.

Using AI-powered vision replace traditional machine-vision technology in the automotive industry to inspect the surface defects such as auto-body scratches and part defects like panel splits, cracks, inner-fin defects, defective automotive vents, etc. AI-powered vision performs is much better than the traditional rule-based machine vision in drastically lowering (up to 90% in some cases) the numbe

The flood forecasting pilot initiative incorporates AI and physics-based modeling to provide accurate real-time flood forecasting and alerts. The models can more accurately predict not only when and where a flood might occur, but also the severity of the event.

Published in 2019

The City Brain project, created by DAMO Academy, Alibaba, aims to solve emerging challenges Chinese cities are facing with during their rapid development, including heavy traffic congestions, urban planning, crime prevention, etc. The platform has achieved promising progress in many cities in China and Kuala Lumpur, the capital of Malaysia.

Road weather information system (RWIS) is an intelligent system which can monitoring and recording all kinds of weather information or road conditions, thus helping drivers to avoid severe pavement condition, and engineers to schedule the maintenance. The system is very sustainable and resilient as it consumes low power and is built strong enough to undergo stressful situations.

Crayon is an AI-powered analysis tool which helps small enterprises to keep track of the digital movements of their competitors from hundreds of millions of sources. It analyzes the strengths and weaknesses of other companies by monitoring and investigating the price fluctuation, the market campaigns, customer feedback, etc. The users could adjust their strategies according to the market trends di

FloodAlerts is a software application which can automatically warn users about the risk of flood based on information provided by the Environment Agency. Personal users can choose a safer route by setting several monitoring locations. At the same time, the software can help enterprises to watch out for the water level in the area of infrastructure and assets.

MonkeyLearn is a platform which provides tools that allow users to train artificial intelligence agents within a few hours without the need for coding ability or expertise in machine learning. Instead of hiring data scientists and market experts, small enterprises can easily incorporate AI in their business by merely feeding the customer data into the easy-to-use interface provided by MonkeyLearn.

Dynamic Infrastructure can spot and repair defects in various infrastructures and assets, including bridges, tunnels and roadways with AI technology to avoid significant failures. The system performs imagery analysis on information extracted from the past inspection records and day-to-day photos, Lidar scanning and drone flights. It can create interactive visual medical reports for each defect.

FUJITSU aims to solve the severe problems of maintaining and managing deteriorating bridges infrastructures using AI and FUJITSU Human Centric AI Zinrai technology. The job was initially done by human visual inspections, which can only spot the abnormalities on the surface of the infrastructure. On the contrary, this technology collects vibration data from IoT sensors to determine the internal da

Published in 2017

Waycare collects data from transportation agencies' existing infrastructure. This information is combined with additional data from mobile apps, connected vehicles, weather, and event management systems. Artificial Intelligence (AI) algorithms ingest, synthesize, and process this information to produce actionable insights and predictions for traffic safety and congestion management.

Avitas Systems is improving safety inspection efficiency in industries by incorporating robotics, AI and data analytics technology, powered by NVIDIA AI supercomputers, in critical infrastructure and sites of oil, gas, energy and transportation.

The initiative is launched by UNDP with IBM Research to develop an algorithm to automate the Rapid Integrated Assessment (RIA). The RIA aims to help countries align their national plans with the Global Goals for Sustainable Development and AI could help reduce the completion time "from an estimated 3-4 weeks to 3 days."

Published in 2018

Researchers have applied deep learning to street imagery for measuring spatial distributions of income, education, unemployment, housing, living environment, health, and crime. It has the potential to complement traditional survey-based and administrative data sources for high-resolution urban surveillance to measure inequalities and monitor the impacts of related policies.

Published in 2019

Willow , Woodside developed their own cognitive assistant based on Watson deep learning artificial intelligence platforms. In deployed Watson systems, Willow could work across and outside them. Using simple, natural language voice or text commands, Willow clearly knows which system holds the information we need, or related information lives in several systems, drawing relevant answers from our 64-

Google is working with machine learning engineers from DeepMind, the world-leading artificial intelligence company, to reduce the power consumption for cooling down its considerable number of data centres. The system analyzes the relationship between various actions and their corresponding energy consumption, to select the best strategy which still maintains the safety standards.

Einstein AI, proposed by SalesForce, is an artificial intelligence system embedded inside the SalesForce CRM system that can help small and medium-sized businesses to explore and analyze customer data and to focus on marketing. It integrates multiple AI technologies to extract customer preference from their phone conversations, emails and even social media posts so that the salespersons could comm

Published in 2016

Artificial intelligence is likely to affect the entire landscape of insurance as we know it.In this article we look at three key ways that AI will drive savings for insurance carriers, brokers and policyholders, plugging into existing transformations within the insurance industry

Published in 2020

At an RDS of Virginia recycling center in Roanoke, two spider-like, 300-pound robots sort through an unending line of trash. One robot’s skinny leg, which relies on computer vision to detect recyclables, plucks a hunk of blue plastic off a conveyor belt, while the other’s grabs a piece of an old water bottle. The machine then places those bits into sorting bins using a vacuum gripper.

Published in 2020

Walmart wants to learn whether robotic deliveries fit in with its retail operations so it’s launching a pilot program with General Motors backed Cruise using the tech startup’s electric, self-driving to haul groceries and other goods to suburban Phoenix customers.

Published in 2020

Tech giants such as Google, Amazon and Microsoft are providing cloud computing services and AI support for oil and gas companies. It not only accelerates the location and extraction of fossil fuels but also makes them appear on the market faster and cheaper. According to GreenPeace reports, these technology companies have contradicted with their commitments to address climate change.

Published in 2020

BenevolentAI platform helps researchers to review millions of papers and abstracts and can organize the information into a network of known facts. The AI tool can generate a large number of possible hypotheses, and these hypotheses can be further analyzed and distilled into several promising hypotheses. This AI tool can raise the efficiency and success rate of pharma research and development.

Published in 2020

Most animation studios have to stick to a visual style and formula that is proven to successful before because they have to spend a large amount of time to create the animations. Now researchers in Japan are trying to build an AI tool which can colourize automatically so that artists can try more ideas and visual styles.

Published in 2018

A historical problem of the fashion industry is the waste of resources. H&M is a fashion brand well-known for using recycled materials in its supply chain. According to Arti Zeighami, global head of advanced analytics and AI at H&M, H&M set up its AI department to align demand and supply, and to eventually avoid wasting resources and reduce emissions.

Published in 2018

Researchers are now using graph neural networks(GNN) to map physical systems. A mixture of data is fed into GNN models for training, and symbolic regression is applied afterwards to derive mathematical equations from the GNN models. It has been shown that the AI system can derive Newton's laws of motion, and unknown mathematical formulations to describe dark matters with a lower error rate.

Published in 2020

IALAB is an initiative whose purpose is to generate disruptive high-impact solutions in the Administration and Justice, to guarantee the effectiveness of people´s rights. Prometea, an artificial intelligence system for transforming public organizations, was developed in this context of innovation within the scope of the Public Prosecutor´s Office. It is a system that combines smart detection, prediction and smart assistance to automate the creation of documents, perform intelligent searches and assist in data control.

With the emergence of large telescopes and astronomy cameras, the community of astronomers requires the implementation of a new generation of astronomy brokers, which are systems that serve as intermediaries between large survey telescopes, those that monitor the sky searching for new astrophysical events, and follow-up telescopes, those that observe interesting events to characterize them and understand their physical properties. Currently, these telescopes can produce up to 1 million events per night and are expected to reach up to 10 million events per night in the upcoming years. These events must be distributed among the community through the transmission of data streams so they may be captured, annotated and classified by astronomy brokers.

UNIMA developed a fast and low-cost device which uses a diagnostic and disease surveillance technology which allows doctors, nurses and healthcare workers to diagnose disease directly at the point of care, however remote it is, in less than 15 minutes, without the use of any laboratory equipment and at a very low cost.

NotCo was founded in 2016 with the purpose of changing the way food is made, a way to allow people to eat more healthily without noticing it. To achieve this, NotCo combined science and Artificial Intelligence technology to help scientists create food formulas that are delicious and sustainable. An efficient and sustainable way was invented for transforming plants into food products that deliver all the pleasures and nutritional benefits that consumers demand, without a destructive environmental impact.

Brightics AI is a prescriptive algorithm and Artificial Intelligence (AI)-based analysis platform. The platform can be applied to the various sectors ranging from manufacturing, marketing, logistics, security, IoT, health care and etc.

E-brain is a Korea Telecom’s (KT) artificial intelligence-powered energy analytics platform. Capable of machine learning, KT’s e-Brain is able to factor weather, usage patterns and profitability to generate its own prediction models that enable efficient management of energy generation, energy consumption, energy trading and vehicle charging.

Aerobotics is a data analytics company that makes use of aerial imagery and machine learning algorithms to solve specific problems across a number of industries, including in agriculture and insurance.

HearX is a private company specializing in smartphone-enabled diagnosis of outer/middle ear diseases. The company has partnered with the University of Pretoria and the World Health Organisation to provide affordable hearing health technologies to a wide audience that may not have access to health services.

Shizuoka University is working on a project that uses artificial intelligence to support agricultural production by automating certain processes involved. The system aims to inform farmers of the appropriate time to water tomatoes and to assist in the sorting of cucumbers in the pre-sale process.

Owkin, a French private company, builds artificial intelligence-based algorithms that can interpret biomedical images, genomics and clinical data to discover biomarkers and mechanisms associated with diseases and treatment outcomes.

Katomi is a startup specialized in healthcare technologies. It offers an artificial intelligence-based solution for secure storage and intuitive indexing of images for medical use.

FiveAI is working on developing autonomous transport across European cities with the aim of improving commuter journeys and the environmental efficiency of transport in major European capital cities.

Niramai is a start-up that has developed the Thermalytix software which can detect early-stage breast cancer in a non-contact and non-invasive assessment using high-resolution thermal images.

ENIT Systems is a German start-up that offers an intelligent solution to save energy. With the ENIT Agent, the company offers a full-fletched energy solution for monitoring electricity, heat, gas, steam or water consumption in companies. By integrating data logger, gateway, database, server and analysis software in one device, the ENIT Agent is a new concept in regards to energy management.

BoniRob has been developed by students of the University of Osnabrück together with the companies Bosch and German agricultural company Amazone. BoniRob is an agricultural robot that detects weeds using camera technology and image recognition, and then drives a bolt into the ground to remove the plant.

Gridhound is a spin-off of the Rheinisch-Westfälische Technische Hochschule Aachen (RWTH-Aachen) and the E.ON Energy Research Center. They offer a solution for a cost-effective monitoring of power distribution grids with a focus on reducing unnecessary energy consumption.

Ada Health is a private company with a widely used AI-powered health platform that provides medical advice and assessment to individuals. The company launched the Global Health Initiative (GHI) in partnership with the Bill & Melinda Gates foundation and the Fondation Botnar, to provide free access to a health guide app to help people in regions with poor health service delivery.

AEROARMS is the first aerial robotic system with heavy payload drones mounted multiple arms and advanced manipulation capabilities to be applied in industrial settings. The system is also equipped with perception and control capabilities to allow for autonomous inspection and maintenance.

The I-VALVE project seeks to make driving safer and reduce mortality from preventable road traffic accidents. The project seeks to use artificial intelligence in innovation around the deployment of airbags and aims to optimize the functioning of existing technologies, taking into consideration and assessing external circumstances and personal parameters which can save passengers’ lives.

SilviaTerra is a private company from the United States which uses satellite imagery to provide artificial intelligence-based algorithms that can help in the monitoring and management of forests.

The U.S. Department of Energy (DOE) is leading the Grid Resilience and Intelligence Project (GRIP), which will help electric grids handle power fluctuations, avoid failures, resist damage, and recover faster from major storms, cyberattacks, solar flares, and other disruptions. GRIP will use predictive analytics, machine learning, and artificial intelligence, which will help anticipate and recover from grid events and disruptions more quickly.

SigTuple is a healthcare start-up which uses artificial intelligence to build affordable medical diagnosis solutions using a microscope, a smartphone app and cloud-based engine for analysis and reporting.

The DiDi Smart Transportation Brain is an AI-powered solution that facilitates real-time data to provide cities with a range of transportation and infrastructure improvements including traffic flow measurements, “Smart Traffic Signals,” reversible lanes, and traffic management programs for maintenance scheduling and system assessments.

In a global market that makes room for more competitors by the day, some companies are turning to AI and machine learning to try to gain an edge. Supply chain and inventory management is a domain that has missed some of the media limelight, but one where industry leaders have been hard at work developing new AI and machine learning technologies over the past decade.

Published in 2019

This project uses artificial intelligence to help realize and uphold child rights.

The study used machine learning to assess consumer spending and asset wealth, using high-resolution satellite imagery to measure poverty in Africa.

Published in 2016

The project aims to create a matching algorithm for refugees by modeling the ideal refugee migration patterns and recommend appropriate destination countries. In this way, the social and economic pressures in those countries could be alleviated, and the disruption to the lives of migrants and local inhabitants could also be minimized.

Published in 2018

The financial advisor system can learn from historical data to predict the account balances of individuals for a future time period, analyze the spending patterns of users, and provide key insights into their financial health. With its help, low-income individuals and families can better plan their financial spending behavior and avoid a vicious cycle of debt and poor credit.

Published in 2017

The AI Economist uses a Reinforcement Learning framework in simulated economies to learn dynamic tax policies, providing a purely simulation-based and data-driven solution in finding a tax policy that optimizes equality along with productivity. The simulations may help to improve policy impact and social outcomes in real-world economies.

Published in 2020

Researchers have applied deep learning to street imagery for measuring spatial distributions of income, education, unemployment, housing, living environment, health, and crime. It has the potential to complement traditional survey-based and administrative data sources for high-resolution urban surveillance to measure inequalities and monitor the impacts of related policies.

Published in 2019

On August 24th, the global online education "unicorn" enterprise iTutorGroup celebrated its 20th anniversary in Taipei. Founder and CEO Dr. Eric Yang laid out the company's blueprint for strategic development as he talked about AI and education with the world's first robot citizen Sophia. iTutorGroup 'hired' Sophia as the first-ever AI tutor and invited her to explore the new era of online educa

Published in 2018

iQIYI, an online entertainment service provider in China, has unveiled "the world's first virtual AI/AR sign language interpreter, allowing hearing-impaired watchers to enjoy iQIYI's content with a much greater level of ease."

Published in 2018

The AI sign language translator is developed by Tencent Youtu Lab to automatically recognize a variety of signs and translate them into written text. The device is expected to "provide better services for people with impaired hearing in public places and help develop information accessibility."

Published in 2019

Lookout is a Google app, similar to "Seeing AI", that uses AI to detect and report items around such as people, text, objects in the scene to help people with visual disabilities.

Seeing AI is a Microsoft research project and also an app that helps people with visual impairment by narrating the world around them, e.g. describing the visual world around them, recognizing friends and their facial expressions, reading text on documents, etc.

Google is working to create and optimize AI-based algorithms to learn about the communication needs of people with impaired speech so that "mobile phones and computers can more reliably transcribe words spoken by people with these kinds of speech difficulties."

Published in 2019

HandTalk is an app that uses AI technology and cartoon images to translate Portuguese into Brazilian local sign language, helping hearing-impaired people to conduct digital communication and sign language learning.

Published in 2012

Legaltech Seed is a Non-profit Association focused on Law and Technology, articulating the interdisciplinary participation of students, teachers and professionals in the analysis, debate and production of knowledge related to the unequal distribution in access, use and knowledge of Technologies that impacts and challenges us as citizens and professionals of law.

Paraguay has a broad rural social group with modest means and reduced access to financial leverage to help them get out of that situation through loans or technical assistance. Furthermore, it is common for these individuals to be registered in a credit bureau or identified with a high financial risk which prevents them from accessing new financing to make investments.

SISBEN is a national survey that Colombia uses to classify and address the needs of its citizens. To classify the population according to socio-economic levels through the survey, a machine learning model was applied (Quentile Gradient Boosting), which presented excellent results in the evaluation of methodologies for SISBEN classification.

U-planner is a Latin American company with headquarters in Chile, which provides advanced analysis and AI solutions for the management and operations of universities in several countries. They work with some of the best universities in Latin America such

Given a migrant and a job on the Internet that he/she wishes to perform, the digital tools learn the sequence of micro-tasks best suited to help this individual develop the digital skills needed to complete the work. Since workers help each other to recommend which micro-tasks must be implemented to develop certain digital skills on the job (workers coach and train one another), the system uses this information to learn which types of tasks are more convenient for developing specific skills, and then recommends these tasks to other workers so they develop them and access better salaries. Up to now, the tools have helped training hundreds of workers in thousands of different digital tasks. This has also helped workers access better paid job opportunities (because they now have more specialized skills). The intelligent tools have been awarded honorable mentions in conferences and scientific journals such as the Conference on Human-Computer Interaction of the Association for Computing Machinery (ACM CHI) and the World Wide Web (WWW).

Talov created two applications to promote the inclusion of people with hearing and visual impairments, improving their communication. These apps use Artificial Intelligence to generate accessibility tools that are compatible with mobile phones to help people with hearing and visual disabilities to raise their levels of independence in their daily tasks. Through the camera and microphone of the mobile phone, users can have access to audiovisual tools that provide them with the means of getting around more easily. This helps them overcome the challenges of daily communication; and to become more and more free and independent.

UNIMA developed a fast and low-cost device which uses a diagnostic and disease surveillance technology which allows doctors, nurses and healthcare workers to diagnose disease directly at the point of care, however remote it is, in less than 15 minutes, without the use of any laboratory equipment and at a very low cost.

1DOC3 is an affordable online portal for medical consultations which offers this service to 1 million people every month. 1DOC3 uses technology to optimize a physician´s time by performing a real-time remote and personalized check-up of symptoms, a triage and a pre-diagnosis for each case using AI.

The mission of Portal Telemedicina is to guarantee universal access to quality healthcare, through a platform that delivers reliable, fast and affordable diagnostics allowing physicians to deliver diagnostics online. Telemedicina helps small clinics to expand their diagnostic services through the portal which includes access to experts and AI models.

Doc.com is a company committed to improving universal access to primary health care services. Being pioneers in a new model, eliminates many of the barriers to access such as time, location and cost. Doc.com is capable of responding medical questions that can be solved with medical advice, meaning any type of concerns addressed by a health professional without the need of a complete medical consultation.

COMPASS Inc. developed Qubena, a tablet-form educational device for mathematics that utilizes artificial intelligence to support individual learning. The device provides math problems that are optimized to the student’s learning process by matching the problem with the ability of the student and gearing questions to direct address their weak points. The company is promoting the wide use of the device by making versions with affordable prices as well as offering Qubena to NPOs.

PAWS advances research in machine learning, AI planning, and behavior modeling for assisting in the protection of wildlife. PAWS takes basic information about the protected area and information about previous patrolling and poaching activities and generates predictions of potential poaching locations and possible patrol routes.

With 45.8 million slaves estimated to be working against their will around the world, the issue of modern slavery remains constant and is always evolving. Zooniverse plans to teach artificial intelligence and machine learning to identify typical places where people work and are kept as slaves.

The US-based non-profit organization International Centre for Missing and Exploited Children (ICMEC) announced the launch of the GMCNgine, a global platform to help find missing and abducted children. The GMCNgine combines artificial intelligence and digital advertising technology to help locate missing children vulnerable to exploitation, sexual abuse, and trafficking.

Joonko is an artificial intelligence start-up that seeks to help companies meet diversity and inclusion goals. Joonko uses AI to push for diversity in all stages of company recruitment, from the gathering of relevant candidates, to the actual hiring process of a new employee, as well as through existing staff members. Joonko identifies events of potential unconscious bias as they occur, and engages the relevant executive, manager or employee with insights and recommendations for corrective actions.

Fasal Salah is an informative free to use app which is designed to help farmers by providing real time personalized crop advisory based on current and forecasted weather.

There are approximately 500 million small and medium farmers around the world whose agricultural production equals 75% of the world´s total food supply. However, despite this fact, they only receive 25% of financial credits to agriculture. It is thought that demand will grow in the upcoming decades, whereby this industrial sector will be crucial for supplying food to the world. Financial institutions have several difficulties in assessing the risks of these companies, since traditional methods don´t have the tools to adequately measure real financial risks. For this reason, the interests on these loans have steeply increased by 30% or more. Traive provides a solution to this problem through the creation of a credit system that uses machine learning.

In Chile, AI brings up new opportunities in several industries and Working together with many industries to supporting the development of cities to help everyone succeed.

ConserWater is a platform using satellite data and AI to help farmers reduce water wastage and predict exactly how much water farmers need to give to their crops at any time. It also includes AI-based irrigation recommendations, plant disease detection, irrigation leak detection, farm-specific weather, and so on.

The RUBSEE project is a real time monitoring system using AI and computer vision to follow waste management processes in waste treatment plants. It aims to optimize the waste industry s environment and improve its economic and regulatory compliance.

This project highlights the life stories of women scientists who won the Noble Prize, and discovers the deep connections of these women.

The Repaint system can help to design reproductions of paintings combined with 3D printing and deep learning technologies.

AI technologies is used to learn the Bach's signature music style

Published in 2019

Europeana Collections is Europe’s digital library, museum, gallery and archive, providing online access to a vast store of cultural heritage material from across Europe

This large project aims to develop a digital information system by analyzing the big data of the past and future of Europe.

This system aims to make roads safer by sending alerts of crashes and illegal driving and to improve traffic management by counting and identifying vehicles and pedestrians.

Artificial intelligence is used here to identify and prevent the spread of misinformation online by quantifying bias.

The Venice Time Machine Project is a pioneer international Digital Humanities scientific program which includes two phases to build a digital library and 4D model of Venice Mirror world.

Published in 2012

The project aims to preserve the dying language - te reo Māori using artificial intelligence technology.

The Metropolitan Museum of Art houses over 1.5 million works of art spanning 5,000 years. Now, The Met is exploring artificial intelligence to make its collection accessible to the 3.9 billion internet-connected people worldwide.

The City Brain project, created by DAMO Academy, Alibaba, aims to solve emerging challenges Chinese cities are facing with during their rapid development, including heavy traffic congestions, urban planning, crime prevention, etc. The platform has achieved promising progress in many cities in China and Kuala Lumpur, the capital of Malaysia.

Road weather information system (RWIS) is an intelligent system which can monitoring and recording all kinds of weather information or road conditions, thus helping drivers to avoid severe pavement condition, and engineers to schedule the maintenance. The system is very sustainable and resilient as it consumes low power and is built strong enough to undergo stressful situations.

FloodAlerts is a software application which can automatically warn users about the risk of flood based on information provided by the Environment Agency. Personal users can choose a safer route by setting several monitoring locations. At the same time, the software can help enterprises to watch out for the water level in the area of infrastructure and assets.

Dynamic Infrastructure can spot and repair defects in various infrastructures and assets, including bridges, tunnels and roadways with AI technology to avoid significant failures. The system performs imagery analysis on information extracted from the past inspection records and day-to-day photos, Lidar scanning and drone flights. It can create interactive visual medical reports for each defect.

FUJITSU aims to solve the severe problems of maintaining and managing deteriorating bridges infrastructures using AI and FUJITSU Human Centric AI Zinrai technology. The job was initially done by human visual inspections, which can only spot the abnormalities on the surface of the infrastructure. On the contrary, this technology collects vibration data from IoT sensors to determine the internal da

Published in 2017

The project aims to create a matching algorithm for refugees by modeling the ideal refugee migration patterns and recommend appropriate destination countries. In this way, the social and economic pressures in those countries could be alleviated, and the disruption to the lives of migrants and local inhabitants could also be minimized.

Published in 2018

Researchers have applied deep learning to street imagery for measuring spatial distributions of income, education, unemployment, housing, living environment, health, and crime. It has the potential to complement traditional survey-based and administrative data sources for high-resolution urban surveillance to measure inequalities and monitor the impacts of related policies.

Published in 2019

The World Health Organization reports that more than 160 million people are affected by natural disasters annually. Estimates from the World Bank also suggest that 26 million people are forced below the poverty line annually due to natural disasters. Technological advancements with artificial intelligence (AI) aiding natural disasters may help countries with their response to such catastrophic ev

Published in 2020

IALAB is an initiative whose purpose is to generate disruptive high-impact solutions in the Administration and Justice, to guarantee the effectiveness of people´s rights. Prometea, an artificial intelligence system for transforming public organizations, was developed in this context of innovation within the scope of the Public Prosecutor´s Office. It is a system that combines smart detection, prediction and smart assistance to automate the creation of documents, perform intelligent searches and assist in data control.

Brightics AI is a prescriptive algorithm and Artificial Intelligence (AI)-based analysis platform. The platform can be applied to the various sectors ranging from manufacturing, marketing, logistics, security, IoT, health care and etc.

The Smart Home Dream House project is led by SK Telecomm together with Walk Together. It is a controlled home service via AI and IoT technology for the disabled

Fine Dust Forecast is led by the Ministry of Environment and supported by private companies, K-Weather and Korea Telecom by deploying AI technology to measure fine dust and monitor air pollution trends.

E-brain is a Korea Telecom’s (KT) artificial intelligence-powered energy analytics platform. Capable of machine learning, KT’s e-Brain is able to factor weather, usage patterns and profitability to generate its own prediction models that enable efficient management of energy generation, energy consumption, energy trading and vehicle charging.

Aerobotics is a data analytics company that makes use of aerial imagery and machine learning algorithms to solve specific problems across a number of industries, including in agriculture and insurance.

ENNET Corporation, an energy company, is collaborating with COzero, a venture company in Australia, to create an energy management system for corporations, that utilizes artificial intelligence. The system analyzes energy use throughout the day and provides timely notifications and advice on how to reduce it. The system is based on COzero’s EnergyLink platform and has been adapted to the Japanese market. It is offered as a paid service to ENNET’s customers.

AIxAI is a project by NTT and Nikken Sekkei Research Institute (NSRI) for real-time smart city management that uses an artificial intelligence system that monitors and processes climate and energy data, along with data derived from sensors that track the movement of people, to come up with solutions for issues in the community, traffic, and energy.

UNIST Heatwave Research is a government-funded project that uses artificial intelligence to analyze heatwave data and predict thermal characteristics of the land.

Winnow Vision is a privately owned company which has created and recently released a machine learning-powered smart bin that recognises different foods and helps kitchen staff to reduce waste.

FiveAI is working on developing autonomous transport across European cities with the aim of improving commuter journeys and the environmental efficiency of transport in major European capital cities.

Optibus provides a platform that helps plan and schedules the movements of vehicles and drivers, with detailed insight into how this affects operations, on-time performance and costs. Optibus leverages artificial intelligence and historical data to predict and analyze on-time performance, so that when a user makes a schedule change, they can immediately see the on-time performance impact and suggested schedule improvements.

ConserWater is a water conservation platform using satellite data and artificial intelligence to help farmers reduce water wastage and distribute their water resources adequately and efficiently across different types of crops.

Fasal Salah is an informative free to use app which is designed to help farmers by providing real time personalized crop advisory based on current and forecasted weather.

The Seneka project developed a sensor network with mobile robots for the purpose of disaster management. The main objective is to create a system able to save human lives in an emergency, such as natural disasters. Therefore, utilizing sensors, communication technology elements and robots to reduce rescue time is the objective. Among the project partners is the Fraunhofer Institute.

Breeze Technologies is a German start-up which aims to make improve the quality of air in cities through low-cost sensors and a platform relying on artificial intelligence for real-time analytics.

Qucit, a French private company aims to make cities more enjoyable, efficient and sustainable. For this, the company has developed several tools based on artificial intelligence to streamline and improve the design of public space, the management of urban services and the well-being of citizens.

Ecojoko, a French private company, partners with Mr. Frédéric Magoules, Professor at the Department of Mathematics and Computer Science of Complex Systems at CentraleSupelec (Paris-Saclay University) to reduce CO2 emissions for residential buildings using artificial intelligence algorithms.

The RUBSEE project brings artificial intelligence to the field of waste management and goes beyond sorting, by monitoring in real time the waste flow processed by waste treatment plants. It is operated by the Barcelona-based company SADAKO TECHNOLOGIES and they carry out their activities mainly in Spain.

Nature Conservancy, a non-profit organization, has teamed up with Esri and Microsoft in order to develop or improve on online mapping tools intended to track trends in the health of various ecosystems.

The OpenAg project aims to build a healthier and more sustainable food system across the world by creating an open-source ecosystem of data and “food computers” that use artificial intelligence to record, process, and share extensive data about the best growing techniques and conditions for plants. This allows people to experiment, educate, and produce food hyper-locally in a transparent and well-connected network across the globe.

Neuron is an artificial intelligence program that, when paired with an autonomous robotic system called Cortex, can identify and rapidly retrieve recyclable materials on a conveyor belt.

OmniEarth, a geospatial services company, leverages satellite imagery and cognitive visual recognition technology to identify parcels where water appears to be going to waste. This enables water districts to work with property owners who are using above-average amounts of water, and allows water authorities can target those areas or homes for conservation messaging.

The U.S. Department of Energy (DOE) is leading the Grid Resilience and Intelligence Project (GRIP), which will help electric grids handle power fluctuations, avoid failures, resist damage, and recover faster from major storms, cyberattacks, solar flares, and other disruptions. GRIP will use predictive analytics, machine learning, and artificial intelligence, which will help anticipate and recover from grid events and disruptions more quickly.

Trapview is an artificial intelligence-based pest insect monitoring and forecasting platform developed by a Slovenian company: Efos.

Plantix is a free app powered by deep neural networks, built to help farmers, to distinguish between different patterns that are left by plant diseases, pest or nutrient deficiencies.

The DiDi Smart Transportation Brain is an AI-powered solution that facilitates real-time data to provide cities with a range of transportation and infrastructure improvements including traffic flow measurements, “Smart Traffic Signals,” reversible lanes, and traffic management programs for maintenance scheduling and system assessments.

The Dynamic and Robust Wildfire Risk Prediction System is an artificial intelligence-powered wildfire rating system designed to supplement the Australian wildfire rating system.

IRBin, created by Cirsys, was born as the result of searching for an interactive and customizable solution for educating and raising user awareness about the importance of recycling. IRBin is the first social and friendly robot that teaches and helps people to recycle through artificial intelligence algorithms that automatically classify waste into 3 categories: plastic bottles, glass bottles and general waste.

Artificial intelligence techniques have been utilized to reconstruct the historic 3D map of the famed Mont-Saint-Michel —a 17th century icon of French.

Institution: BISITE Research Group, University of Salamanca The system combines different statistical and artificial intelligence (AI) technologies, such as artificial neural network (ANN), EM algorithm, variance analysis based method and service-oriented method (SOA) [8]. The combination of these technologies makes the system innovative in obtaining intelligent prediction of consumption and cost. The innovation of the system is to combine these methods into a workflow, which can automatically obtain intelligent lighting plans based on input data (such as pedestrian flow or traffic flow, weather or consumption costs related to lamps).

The Google.org Climate Impact Challenge Project has committed 10 million euros to fund bold ideas aimed at using technology to accelerate Europe towards a greener and more resilient future. The selected organizations may receive up to 2 million euros of funds and customized post-grant support from Google Entrepreneurship Accelerator to help turn their ideas into reality. The following are the selected projects of the climate impact challenge at Google.org. These organizations have received funding of 500000 to 2 million euros and support from Google. (11 in total) 1) Energy Web (EW): introduce energy stored in distributed energy into the grid Country: Switzerland EW is a global non-profit organization, accelerating the establishment of a low-carbon, customer-centric power system by releasing the potential of open source and decentralized technology. 2) Climate Farmers: tackling climate change through renewable agriculture Country: Germany Through the development of soil carbon monitoring system, establish an effective agricultural carbon market, and help European farmers transition to renewable practices 3) Materiom: Accelerate the research and development of biomaterials through the use of artificial intelligence and distributed testing Country: UK Create an open library of bioplastics "formulas" - scientific building blocks for manufacturing compostable packaging materials - to double the innovation speed of high-performance, low-carbon compostable materials. 4) Normative: help companies reduce their carbon footprint through financial reporting Country: Sweden Together...

The smart meter combined with machine learning analysis is an electronic device that records the user's energy consumption data at an hour or shorter interval and transmits it to the public utility. In addition to saving the process of manual meter reading, it can also enable power companies to monitor energy use in real time. Smart meters generate a large amount of data that can be used to improve energy management, thereby reducing costs and reducing carbon emissions. When applied to smart meters and socio-economic data, these algorithms will forecast demand and peak load; Determine regional, seasonal and community consumption patterns; Make utilities meet the expected demand to reduce waste; Help consumers plan their electricity consumption to reduce demand and reduce carbon emissions.

The urban heat island effect refers to the urban high temperature caused by a large number of artificial heating, buildings and roads and other high thermal storage and green space reduction. With the increasing urbanization of the world's population and the continuous climate change, urban heat island has led to a series of problems such as the increase in the number of deaths, the deterioration of health conditions, the increase in energy consumption and the destruction of infrastructure. Using more reflective materials on roofs and roads in urban areas can reduce the heat island effect and the resulting death risk. The World Resources Institute uses the machine learning resources provided by Microsoft to build a tool to map, measure and monitor the changes of urban surface reflectance over time, with the ultimate goal of reducing urban heat.

Building an image-recognition tool to improve plastic recycling rates, reduce ocean plastic pollution, and strengthen waste management in under-resourced communities.

Published in 2016

FarmLogs is a free platform using AI to help farmers increase profitability and reduce waste. FarmLogs contains four products: FarmLog Lite(free), FarmLogs Essentials, FarmLogs Complete, Add-Ons.

ConserWater is a platform using satellite data and AI to help farmers reduce water wastage and predict exactly how much water farmers need to give to their crops at any time. It also includes AI-based irrigation recommendations, plant disease detection, irrigation leak detection, farm-specific weather, and so on.

With the vast database of over 300 million customers feedback, JD tries to make the consumption more responsible by using big data and artificial intelligence based on the Consumer-to-Manufacturer (C2M) model.

Published in 2019

KITRO reduces avoidable food waste by providing restaurants with automated hardware and software solutions to identify, manage, and monitor the source and quantity of food waste and reduce the hidden cost of food waste.

Published in 2017

With sensors, cameras, artificial intelligence, etc., Plenty provides the optimum conditions for crops to grow and uses robots for automated cultivation in Vertical Farm.

Published in 2017

Ecoisme is an energy-saving system that could monitor and analyze the energy consumption of the electric equipment then give insights to reduce the utility bills.

Published in 2017

Baidu uses the deep-learning platform PaddlePaddle and its click-through rate (CTR) model to predict the purchased quantity of fresh goods in convenience stores. This technology can effectively reduce food waste.

Published in 2017

Winnow Vision uses artificial intelligence to detect the type and quantity of food discarded, and the commercial kitchen could reduce food waste with these data.

Published in 2019

TOMRA is a company from Norway which uses sensor-based technology for optimal resource productivity, includes reverse vending, material recovery, food sorting, recycling and mining.

Published in 2019

Google is working with machine learning engineers from DeepMind, the world-leading artificial intelligence company, to reduce the power consumption for cooling down its considerable number of data centres. The system analyzes the relationship between various actions and their corresponding energy consumption, to select the best strategy which still maintains the safety standards.

WINT uses artificial intelligence to detect water waste and leaks in real-time and can alert the user about the leakage of water and shut it down automatically at the source with higher precision compared to staff. It not only conserves water resources but also prevents damages caused by water leaks in commercial and government buildings and infrastructures.

Published in 2018

Artificial intelligence is likely to affect the entire landscape of insurance as we know it.In this article we look at three key ways that AI will drive savings for insurance carriers, brokers and policyholders, plugging into existing transformations within the insurance industry

Published in 2020

NotCo was founded in 2016 with the purpose of changing the way food is made, a way to allow people to eat more healthily without noticing it. To achieve this, NotCo combined science and Artificial Intelligence technology to help scientists create food formulas that are delicious and sustainable. An efficient and sustainable way was invented for transforming plants into food products that deliver all the pleasures and nutritional benefits that consumers demand, without a destructive environmental impact.

Aerobotics is a data analytics company that makes use of aerial imagery and machine learning algorithms to solve specific problems across a number of industries, including in agriculture and insurance.

Atlan Space’s technology, developed by the Moroccan start-up Smarter Life Innovation, enables networks of aerial vehicles guided by artificial intelligence to scan large marine areas for environment threats.

In March 2017, Saga Prefecture, Saga University, Saga Prefecture Fishery Cooperative Federation, Norinchukin Bank, NTT Docomo, Co. and OPTiM Co. signed the “Six-Party Agreement for the use of IoT” to promote the use of advanced technology, including artificial intelligence, for seaweed production in Ariake sea area around Saga prefecture. They have conducted field trails to predict and manage crop diseases and red tides. OPTiM offers its artificial intelligence system for the analysis of the data collected through drones and sensors around farms

The Japan Weather Association, a privately-run meteorology company, uses weather forecasts to predict demand for products in various industries. By providing data to manufacturers, distributors, and retailers, the system allows the whole supply chain to plan ahead for the anticipated demand, and reduce waste and CO2 emissions.

The ai tomato Project aims to utilize artificial intelligence and big data to accurately understand plant growth, and visualize such data and analytics for better understanding and actionable next steps to decrease working hours by 10 percent and improve the value chain in the agriculture industry.

Winnow Vision is a privately owned company which has created and recently released a machine learning-powered smart bin that recognises different foods and helps kitchen staff to reduce waste.

FiveAI is working on developing autonomous transport across European cities with the aim of improving commuter journeys and the environmental efficiency of transport in major European capital cities.

Optibus provides a platform that helps plan and schedules the movements of vehicles and drivers, with detailed insight into how this affects operations, on-time performance and costs. Optibus leverages artificial intelligence and historical data to predict and analyze on-time performance, so that when a user makes a schedule change, they can immediately see the on-time performance impact and suggested schedule improvements.

ConserWater is a water conservation platform using satellite data and artificial intelligence to help farmers reduce water wastage and distribute their water resources adequately and efficiently across different types of crops.

ENIT Systems is a German start-up that offers an intelligent solution to save energy. With the ENIT Agent, the company offers a full-fletched energy solution for monitoring electricity, heat, gas, steam or water consumption in companies. By integrating data logger, gateway, database, server and analysis software in one device, the ENIT Agent is a new concept in regards to energy management.

Gridhound is a spin-off of the Rheinisch-Westfälische Technische Hochschule Aachen (RWTH-Aachen) and the E.ON Energy Research Center. They offer a solution for a cost-effective monitoring of power distribution grids with a focus on reducing unnecessary energy consumption.

Qucit, a French private company aims to make cities more enjoyable, efficient and sustainable. For this, the company has developed several tools based on artificial intelligence to streamline and improve the design of public space, the management of urban services and the well-being of citizens.

Ecojoko, a French private company, partners with Mr. Frédéric Magoules, Professor at the Department of Mathematics and Computer Science of Complex Systems at CentraleSupelec (Paris-Saclay University) to reduce CO2 emissions for residential buildings using artificial intelligence algorithms.

The TOXI-triage, funded by the European Union’s flagship “Horizon2020” research program, intends to set up integrated and adaptive responses to toxic emergencies in case of chemical, biological, radiological and nuclear (CBRN) threats. It seeks to deliver quicker situational awareness through various embedded sensors, drones, standoff detectors (including cameras), artificial intelligence for processing sensor signals and web-traffic from social media, and centralized command and control.

The Land Cover Data Project was initiated by the non-profit organization Chesapeake Conservancy in partnership with ESRI, to utilize satellites, drones and land-based vehicles to generate spatial data and create land cover maps. The maps and their associated assessments are made available online to help the precision conservation movement for the planet.

Since 2015, World Resources Institute (WRI) and Orbital Insight have worked together with a grant from the Generation Foundation to find new applications of computer vision and deep learning that can improve the Global Forest Watch (GFW) project in examining the world's forests.

Terra-i is a system that detects land-cover changes resulting from human activities in near real-time. It is the result of a cooperation between. It is the result of a cooperation between the International Center for Tropical Agriculture, The program on Forestry, Trees and Agroforestry, The Nature Conservancy, the School of Business and Engineering and King’s College London.

SilviaTerra is a private company from the United States which uses satellite imagery to provide artificial intelligence-based algorithms that can help in the monitoring and management of forests.

FarmLogs is a free platform that was developed to improve efficiency in farm management for farmers.

The OpenAg project aims to build a healthier and more sustainable food system across the world by creating an open-source ecosystem of data and “food computers” that use artificial intelligence to record, process, and share extensive data about the best growing techniques and conditions for plants. This allows people to experiment, educate, and produce food hyper-locally in a transparent and well-connected network across the globe.

Neuron is an artificial intelligence program that, when paired with an autonomous robotic system called Cortex, can identify and rapidly retrieve recyclable materials on a conveyor belt.

OmniEarth, a geospatial services company, leverages satellite imagery and cognitive visual recognition technology to identify parcels where water appears to be going to waste. This enables water districts to work with property owners who are using above-average amounts of water, and allows water authorities can target those areas or homes for conservation messaging.

The Conservative Online Patrol ASSistant (COmPASS) is a novel application of security game theory and robust optimization that improves the U.S. Coast Guard’s ability to defend fisheries in the Gulf of Mexico from illegal fisherman.

Trapview is an artificial intelligence-based pest insect monitoring and forecasting platform developed by a Slovenian company: Efos.

Plantix is a free app powered by deep neural networks, built to help farmers, to distinguish between different patterns that are left by plant diseases, pest or nutrient deficiencies.

IRBin, created by Cirsys, was born as the result of searching for an interactive and customizable solution for educating and raising user awareness about the importance of recycling. IRBin is the first social and friendly robot that teaches and helps people to recycle through artificial intelligence algorithms that automatically classify waste into 3 categories: plastic bottles, glass bottles and general waste.

There are approximately 500 million small and medium farmers around the world whose agricultural production equals 75% of the world´s total food supply. However, despite this fact, they only receive 25% of financial credits to agriculture. It is thought that demand will grow in the upcoming decades, whereby this industrial sector will be crucial for supplying food to the world. Financial institutions have several difficulties in assessing the risks of these companies, since traditional methods don´t have the tools to adequately measure real financial risks. For this reason, the interests on these loans have steeply increased by 30% or more. Traive provides a solution to this problem through the creation of a credit system that uses machine learning.

Kilimo assists agricultural producers to optimize water usage in their production process. By compiling field data and combining them with our big data from our historical collection, satellite images, machine learning and other processing and forecasting tools, our proprietary software provides: i) A 7-day estimate of crop water consumption ii) Periodic summarized advice for producers written in simple language about the required amount of water in every field to achieve their production goals iii) Risk-related information about irrigation for company intelligence

IBM released the AI driven environment intelligence software called EIS to help enterprises cope with sustainable development goals and climate risks. The existing technologies in EIS also help companies identify and better understand how their own work affects nature and the steps they can take to reduce their carbon footprint. This unique integration of AI and environment, climate and weather data aims to help enterprises simplify and automate environmental risk management and realize the operation of underlying processes, including carbon accounting and reduction, to adapt to and mitigate climate change by accurately analyzing climate risk and accurately calculating carbon emissions.

Published in 2021

Google uses about 12.7 TWh of electricity every year, less than 1% of which is used to train the model we need to calculate most. In order to minimize the energy use of machine learning, we need not only efficient models, but also efficient processors and data centers to train and service them. Google's Tensor Processing Units (TPUs) are specially designed for machine learning, which makes their efficiency five times higher than that of off-the-shelf processors. The efficiency of the cloud computing data center containing these TPUs is twice that of the typical enterprise data center. Models, chips, data centers, and energy - all have a considerable impact on the cost of developing machine learning systems. The correct combination of these four factors can reduce the carbon footprint of training a machine learning system by 1000 times.

Sense's mission is to reduce global carbon emissions by making families smart and efficient. We make it easier for people to take care of their homes and actively participate in a cleaner and more resilient future. Sense is paid, $25.68/month. Usage: Install the Sense Monitor on the electrical panel; The monitor reads the current being drawn and sends the data to the cloud; Sense will analyze the data and send it back through mobile phone or desktop applications; Over time, it will know what is happening in your home, detect equipment, and provide information about your energy use.

The Google.org Climate Impact Challenge Project has committed 10 million euros to fund bold ideas aimed at using technology to accelerate Europe towards a greener and more resilient future. The selected organizations may receive up to 2 million euros of funds and customized post-grant support from Google Entrepreneurship Accelerator to help turn their ideas into reality. The following are the selected projects of the climate impact challenge at Google.org. These organizations have received funding of 500000 to 2 million euros and support from Google. (11 in total) 1) Energy Web (EW): introduce energy stored in distributed energy into the grid Country: Switzerland EW is a global non-profit organization, accelerating the establishment of a low-carbon, customer-centric power system by releasing the potential of open source and decentralized technology. 2) Climate Farmers: tackling climate change through renewable agriculture Country: Germany Through the development of soil carbon monitoring system, establish an effective agricultural carbon market, and help European farmers transition to renewable practices 3) Materiom: Accelerate the research and development of biomaterials through the use of artificial intelligence and distributed testing Country: UK Create an open library of bioplastics "formulas" - scientific building blocks for manufacturing compostable packaging materials - to double the innovation speed of high-performance, low-carbon compostable materials. 4) Normative: help companies reduce their carbon footprint through financial reporting Country: Sweden Together...

Cloud Agronomics uses remote sensing technology and artificial intelligence to provide growers with insights into crops and soil, leading a new wave of active analysis technology to reduce greenhouse gas emissions and promote sustainable food production. Using the customized hyperspectral imaging equipment on the manned aircraft to scan crops and soil, the data collected per pixel is 300 times that of the satellite. Cloud Agronomics is building one of the largest agricultural label data sets to enable growers to actively and efficiently manage crops. In addition, real-time carbon monitoring will provide the first standardized carbon index for the carbon credit market and provide financial incentives for the transition to carbon agriculture. Carbon agriculture refers to removing excess carbon from the atmosphere and storing it in the soil to help plants grow. Growers want to use their land more effectively. Aircraft with hyperspectral imaging collect data on soil, disease activity and crop performance. Local and satellite data are used to create a global geospatial dataset. AI extraction insight and real-time carbon monitoring. Growers use insight to produce food in a more sustainable way. The carbon credit market can use this index to stimulate carbon agriculture.

This project is using climate forecasts of Global Climate Models to predicted crop-yields in near-future in India.

Published in 2018

The flood forecasting pilot initiative incorporates AI and physics-based modeling to provide accurate real-time flood forecasting and alerts. The models can more accurately predict not only when and where a flood might occur, but also the severity of the event.

Published in 2019

Google is working with machine learning engineers from DeepMind, the world-leading artificial intelligence company, to reduce the power consumption for cooling down its considerable number of data centres. The system analyzes the relationship between various actions and their corresponding energy consumption, to select the best strategy which still maintains the safety standards.

Using Cycle-Consistent Adversarial Networks and climate models, researchers create an educational tool that will produce accurate, vivid, and personalized street-view images of houses after extreme weather events, so as to raise public awareness and conceptual understanding of climate change.

Published in 2019

Experts explore how machine learning can help tackle the climate crisis, such as promoting greenhouse gas emission reduction and helping society adapt to a changing climate. Some high impact problems are identified where existing gaps can be filled by machine learning, and a platform is also built for resource and knowledge sharing as well as interdisciplinary collaborations.

Published in 2019

The World Health Organization reports that more than 160 million people are affected by natural disasters annually. Estimates from the World Bank also suggest that 26 million people are forced below the poverty line annually due to natural disasters. Technological advancements with artificial intelligence (AI) aiding natural disasters may help countries with their response to such catastrophic ev

Published in 2020

The study presents the "first application of Deep Learning techniques as an alternative methodology for climate extreme events detection." The developed deep Convolutional Neural Network (CNN) classification system is able to learn high-level representations of a broad class of patterns from labeled data and achieves 89%-99% of accuracy in detecting extreme events.

Published in 2016

MIT researchers have developed a new automated AI system for training and running certain neural networks which could improve the computational efficiency of the system in some key ways, thus cutting down the pounds of carbon emissions involved.

Published in 2020

AI technology presents an exciting opportunity to scale up variance-analysis techniques to multiple energy-intensive industries and dramatically decrease the time and resources required, making continuous improvement towards sustainability goals both viable and valuable for process industries.

IBM’s China Research lab launched the Green Horizons initiative in 2014 with a multipronged strategy to help cities better manage air pollution while at the same time enabling utilities to improve the viability of renewable energy. The project also uses some of IBM’s cognitive computing and Internet of Things technologies to build accurate energy and environmental forecasting systems.

Published in 2014

The Climate TRACE coalition is building a tool that will use artificial intelligence, satellite image processing, machine learning, and other remote sensing technologies to track worldwide human-caused greenhouse gas (GHG) emissions to specific sources in real-time, thus assisting stronger decision-making on climate change.

Published in 2020

Tech giants such as Google, Amazon and Microsoft are providing cloud computing services and AI support for oil and gas companies. It not only accelerates the location and extraction of fossil fuels but also makes them appear on the market faster and cheaper. According to GreenPeace reports, these technology companies have contradicted with their commitments to address climate change.

Published in 2020

Lawuna helps detect and monitor macro-pollutants on the shores of freshwater bodies using real-time drone and smartphone imagery. The goal of this project is to establish a freshwater contaminant monitoring system and empower communities with rich, open environmental data while restoring freshwater bodies from extreme damage caused by excessive danges of macro-pollutants.

Published in 2020

Researches have demonstrated that stratospheric balloons guided by AI can "pursue a long-term strategy for positioning themselves about a location on the Equator even when precise knowledge of buffeting winds is not known," which would "open up a range of commercial and scientific applications for probing Earth’s atmosphere and that of other planets."

Published in 2020

The effects of climate change on the coastal communities of Mexico demand the application of adaptation strategies. Artisanal fishing plays a fundamental social and economic role in these communities. The understanding and acceptance that local fishermen have of climate change information and their perceptions of environmental change will shape and influence the implementation of policies; the experiences of fishermen may also help inform the adoption of new policies. This project analyzes how climate change science and adaptation strategies are framed by the communication media.

NotCo was founded in 2016 with the purpose of changing the way food is made, a way to allow people to eat more healthily without noticing it. To achieve this, NotCo combined science and Artificial Intelligence technology to help scientists create food formulas that are delicious and sustainable. An efficient and sustainable way was invented for transforming plants into food products that deliver all the pleasures and nutritional benefits that consumers demand, without a destructive environmental impact.

Brightics AI is a prescriptive algorithm and Artificial Intelligence (AI)-based analysis platform. The platform can be applied to the various sectors ranging from manufacturing, marketing, logistics, security, IoT, health care and etc.

Khalifa University of Science and Technology, in collaboration with The UAE’s Ministry of Climate Change and Environment (MOCCAE) created a tool to monitor and predict the UAE’s air quality on MOCCAE’s app.

The Japan Weather Association, a privately-run meteorology company, uses weather forecasts to predict demand for products in various industries. By providing data to manufacturers, distributors, and retailers, the system allows the whole supply chain to plan ahead for the anticipated demand, and reduce waste and CO2 emissions.

ENNET Corporation, an energy company, is collaborating with COzero, a venture company in Australia, to create an energy management system for corporations, that utilizes artificial intelligence. The system analyzes energy use throughout the day and provides timely notifications and advice on how to reduce it. The system is based on COzero’s EnergyLink platform and has been adapted to the Japanese market. It is offered as a paid service to ENNET’s customers.

AIxAI is a project by NTT and Nikken Sekkei Research Institute (NSRI) for real-time smart city management that uses an artificial intelligence system that monitors and processes climate and energy data, along with data derived from sensors that track the movement of people, to come up with solutions for issues in the community, traffic, and energy.

UNIST Heatwave Research is a government-funded project that uses artificial intelligence to analyze heatwave data and predict thermal characteristics of the land.

Winnow Vision is a privately owned company which has created and recently released a machine learning-powered smart bin that recognises different foods and helps kitchen staff to reduce waste.

ENIT Systems is a German start-up that offers an intelligent solution to save energy. With the ENIT Agent, the company offers a full-fletched energy solution for monitoring electricity, heat, gas, steam or water consumption in companies. By integrating data logger, gateway, database, server and analysis software in one device, the ENIT Agent is a new concept in regards to energy management.

Qucit, a French private company aims to make cities more enjoyable, efficient and sustainable. For this, the company has developed several tools based on artificial intelligence to streamline and improve the design of public space, the management of urban services and the well-being of citizens.

Ecojoko, a French private company, partners with Mr. Frédéric Magoules, Professor at the Department of Mathematics and Computer Science of Complex Systems at CentraleSupelec (Paris-Saclay University) to reduce CO2 emissions for residential buildings using artificial intelligence algorithms.

The TOXI-triage, funded by the European Union’s flagship “Horizon2020” research program, intends to set up integrated and adaptive responses to toxic emergencies in case of chemical, biological, radiological and nuclear (CBRN) threats. It seeks to deliver quicker situational awareness through various embedded sensors, drones, standoff detectors (including cameras), artificial intelligence for processing sensor signals and web-traffic from social media, and centralized command and control.

The Land Cover Data Project was initiated by the non-profit organization Chesapeake Conservancy in partnership with ESRI, to utilize satellites, drones and land-based vehicles to generate spatial data and create land cover maps. The maps and their associated assessments are made available online to help the precision conservation movement for the planet.

Nature Conservancy, a non-profit organization, has teamed up with Esri and Microsoft in order to develop or improve on online mapping tools intended to track trends in the health of various ecosystems.

Since 2015, World Resources Institute (WRI) and Orbital Insight have worked together with a grant from the Generation Foundation to find new applications of computer vision and deep learning that can improve the Global Forest Watch (GFW) project in examining the world's forests.

Terra-i is a system that detects land-cover changes resulting from human activities in near real-time. It is the result of a cooperation between. It is the result of a cooperation between the International Center for Tropical Agriculture, The program on Forestry, Trees and Agroforestry, The Nature Conservancy, the School of Business and Engineering and King’s College London.

OmniEarth, a geospatial services company, leverages satellite imagery and cognitive visual recognition technology to identify parcels where water appears to be going to waste. This enables water districts to work with property owners who are using above-average amounts of water, and allows water authorities can target those areas or homes for conservation messaging.

The U.S. Department of Energy (DOE) is leading the Grid Resilience and Intelligence Project (GRIP), which will help electric grids handle power fluctuations, avoid failures, resist damage, and recover faster from major storms, cyberattacks, solar flares, and other disruptions. GRIP will use predictive analytics, machine learning, and artificial intelligence, which will help anticipate and recover from grid events and disruptions more quickly.

Trapview is an artificial intelligence-based pest insect monitoring and forecasting platform developed by a Slovenian company: Efos.

Plantix is a free app powered by deep neural networks, built to help farmers, to distinguish between different patterns that are left by plant diseases, pest or nutrient deficiencies.

'Spark' is an open framework for fire prediction and analysis developed by Data 61, under the Commonwealth Scientific and Industrial Research Organisation. Spark takes the existing data of fire behavior and combines it with a simulation program to produce predictions, statistics and visualizations of bushfire spread.

The Dynamic and Robust Wildfire Risk Prediction System is an artificial intelligence-powered wildfire rating system designed to supplement the Australian wildfire rating system.

IRBin, created by Cirsys, was born as the result of searching for an interactive and customizable solution for educating and raising user awareness about the importance of recycling. IRBin is the first social and friendly robot that teaches and helps people to recycle through artificial intelligence algorithms that automatically classify waste into 3 categories: plastic bottles, glass bottles and general waste.

In August 2020, the National Science Foundation of the United States (NSF) announced the establishment of the Trusted Institute of Artificial Intelligence for Weather, Climate and Coastal Oceanography (AI2ES). Among them, the University of Oklahoma and Google are founding members. The Institute includes seven academic institutions, four business partners, and laboratories funded by the United States and the federal government. AI2ES brings together researchers from the fields of atmospheric, marine science and risk communication to develop reliable artificial intelligence technology to address concerns about weather, climate and coastal disaster prediction.

The research on climate change mitigation is paying more and more attention to cities, but we can learn more from urban case studies. The overall scale, geographical scope and subject matter of the case are still unclear, so few people try to synthesize bottom-up evidence. Here, we use scientific metrology and machine learning methods to generate a comprehensive document map. Our database contains about 4000 case studies, providing rich evidence for search, comparison and review. We found that the cities with the highest relevance for future emission reduction in all regions of the world are not representative enough. The evidence map allows case studies to be matched with urban typology in a new and more ambitious comprehensive form, combining the traditionally separate qualitative and quantitative urban studies.

Every year, landslides cause thousands of deaths around the world and may lead to the displacement of entire communities and the destruction of habitable land. Researchers at Penn State University will cooperate with the Landslide Disaster Project of the United States Geological Survey to use in-depth learning tools to better predict the location, time and affected areas of landslides, and create an early warning system to minimize the impact of these natural disasters. Landslide, including debris flow and rock avalanche, can mobilize a large number of geological materials and is one of the most widespread disasters in the world. Pennsylvania State University will receive a grant of US $750000 to train the deep learning (DL) network and use Google Earth Services to establish a global landslide/debris flow event database. Then, they will train the DL model to predict the location, time, rainfall threshold and affected areas of landslides, and provide uncertainty estimates. Finally, they hope to cooperate with Google and the United States Geological Survey to integrate their findings into an early warning system.

Google Climate Change provides services for technology startups in North America that focus on climate change. The project is a 10-week digital accelerator for a round of technology startups in North America. The accelerator project aims to bring Google's best projects, products, personnel and technologies to the most innovative and influential climate change technology experts in the region. In addition to guidance and technical project support, the accelerator will focus on product design, customer acquisition and the leadership development of entrepreneurs.