Combining Satellite Imagery and Machine Learning to Predict Poverty, Science, 2016
U.S. Crop Yield Predictions, AAAI, 2017
Modeling migratory pastoralism in Ethiopia, AAAI, 2015
Model-Free Imitation Learning with Policy Optimization, ICML, 2016
Unsupervised Data Mining in Nanoscale X-ray Spectro-Microscopic Study of NdFeB Magnet, Scientific Reports, 2016
We research innovative computational approaches to help address the societal and environmental challenges of the 21st century.
We combine research on the foundations of artificial intelligence and machine learning with applications in science and engineering.
Our work enables computers to act intelligently and adaptively in increasingly complex and uncertain real world environments.
We gratefully acknowledge support from our sponsors: