Artificial Intelligence • Machine Learning • Computational Sustainability
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Yang Song and Stefano Ermon win the ICLR 2021 Outstanding Paper Award
March 31, 2021
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Aditya Grover wins the Stanford 2020 Walter J. Gores Award for Excellence in Teaching
March 30, 2021
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Stanford researchers harness satellite imagery and AI to help fight poverty in Africa
Stanford University News (May 22, 2020)
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Machines drive better battery designs: Study
Mercury News (February 29, 2020)
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Stefano Ermon wins the Sloan Research Fellowship
February 12, 2020
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‘AI for Good’ talk pushes tech usage to mitigate humans’ environmental impact
The Stanford Daily (January 27, 2020)
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Could machine learning put impoverished communities back on the map?
Stanford Engineering (October 7, 2019)
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Jihyeon Lee receives the Firestone Medal for Excellence in Undergraduate Research
June 20, 2019
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Stefano Ermon receives the Microsoft Research Faculty Fellowship
April 30, 2019
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Stefano Ermon wins the AFOSR Young Investigator Award
September 26, 2018
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Stanford team developing rapid screening for bacterial infections
Stanford University News (July 6, 2018)
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Shengjia Zhao and Jiaming Song win the 2018 Qualcomm Innovation Fellowship
June 8, 2018
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Stefano Ermon receives the IJCAI Computers and Thought Award
Stanford Engineering (May 8, 2018)
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The Pentagon Wants Your Help Analyzing Satellite Images
Wired (February 21, 2018)
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New Analysis of Lithium-Ion Batteries Shows How to Pack in More Energy
IEEE Spectrum (December 12, 2017)
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Sustain Team wins the First Place in the World Bank Big Data Innovation Challenge
March 27, 2017
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To Help The Poorest Of The Poor, First You Have To Find Them
NPR (December 6, 2016)
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Satellites Map World Poverty
Nature Research Highlights (August 24, 2016)
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How satellite images are helping find the world’s hidden poor
Washington Post (August 24, 2016)
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Artificial Intelligence Could Help End Poverty Worldwide
The Inquisitr News (August 20, 2016)
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How to track poverty from space
Los Angeles Times (August 19, 2016)
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Machine learning ‘poverty map’ could help aid get to the right places in Africa
Yahoo News (August 19, 2016)
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The best way to predict poverty is by combining satellite images with machine learning
Quartz News (August 19, 2016)
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Satellite images can map poverty
Science Magazine News (August 18, 2016)
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Satellite images used to predict poverty
BBC News (August 18, 2016)
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Artificial intelligence can find, map poverty, researchers say
Business Insider (August 18, 2016)
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Fighting Poverty With Satellite Images and Machine Learning Wizardry
IEEE Spectrum (August 18, 2016)
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Satellite images of Earth help us predict poverty better than ever
The Verge (August 18, 2016)
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Stanford Scientists Combine Satellite Data, Machine Learning to Map Poverty
Stanford University News (August 18, 2016)
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Generative Models
OpenAI Research Blog (June 16, 2016) – features our Generative Adversarial Imitation Learning project
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Crop Analytics Challenge Offers Future Help for Seed Selection
AG Professional News (April 28, 2016)
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Stanford Team Wins the Syngenta Crop Challenge in Analytics
PR Newswire (April 18, 2016)
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Five Finalists Compete for Nvidia 2016 Global Impact Award This Week
Fudzilla (April 4, 2016)
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Satellite Images Can Pinpoint Poverty Where Surveys Can't
New York Times (April 1, 2016)
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What are Some Recent Advances in Non-Convex Optimization Research?
Huffington Post (March 29, 2016) Forbes (April 5, 2016) – features our Discrete Optimization project
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How GPUs are Helping Map Worldwide Poverty
Nvidia Press (March 25, 2016)
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Syngenta Crop Challenge Finalists to Use Analytics for Farm Seed Selection
Crop Protection News (March 14, 2016)
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Syngenta Crop Challenge Finalists Use Advanced Analytics to Optimize Farmer Seed Selection
PR Newswire (February 29, 2016)
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Machine Scans Millions of Satellite Images to Map Poverty
Futurity: Research News (February 25, 2016)
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Stanford Researchers Use Dark of Night and Machine Learning to Shed Light on Global Poverty
Stanford University News (February 24, 2016)
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Doomsday Grants Will Advance Important AI Research
MIT Technology Review (July 2, 2015)