Our research focuses on the computational foundations of intelligent behavior. We develop theories and systems pertaining to intelligent behavior using a unified methodology -- at the heart of which is the idea that learning has a central role in intelligence.
Our work spans several aspects of this problem -- from theoretical questions in machine learning, knowledge representation and reasoning to experimental paradigms and large scale system development -- and draws on methods from theoretical computer science, probability and statistics, artificial intelligence, linguistics and experimental computer science.
We are hiring! Check out our listing for Postdoctoral Researcher.
Check out our GitHub repositories