Ermon Group

Artificial Intelligence • Machine Learning • Computational Sustainability

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