Wang hopes that, by summarizing longer documents, she can make a new class of information more accessible to a variety of audiences.

Wang hopes that, by summarizing longer documents, she can make a new class of information more accessible to a variety of audiences.
His work is in the area of coordinating systems of autonomous agents that operate in uncertain, dynamic environments.
Twelve students and faculty co-authored papers spanning several key application areas for AI.
His work on reinforcement learning is aimed at accelerating the training of RL agents.
This distinction recognizes young researchers with exceptional promise who are having an impact on the world.
PhD student Emily Sheetz is working to design more dexterous robots to work alongside humans in space.
The project enables neural networks to model how people are positioned based on only partial views of their bodies, like perspective shots in instructional videos or vlogs.
Ironpatch could head off growing danger of security vulnerabilities in vehicle systems.
The Rising Star Award is based on an individual’s whole body of work in the first five years after the PhD.
Kasikci will sift through the byproducts of hundreds of millions of common program executions to determine how this data can automate some key steps in bug finding and fixing.