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 a Senior Research Engineer.
Check out our GitHub repository