A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
- Kai Xu
- Akash Srivastava
- et al.
- 2021
- NeurIPS 2021
I am a principal investigator at the MIT-IBM Watson AI Lab, focusing on machine common sense, embodied AI, generative models, and video understanding.
Before I moved to the Cambridge Research Lab I worked at the Haifa Research Lab where I held several managerial and technical leadership positions. In my last role I was the manager in charge of IBM Project Debater.
In 2005 I received a PhD in computer science from the Hebrew Univerity in Jerusalem, Israel. Following that I was a postdoctoral fellow and a lecturer at Harvard University and MIT. My research interests are in machine learning with applications to machine common sense, natural language processing and computer vision. In the past I worked on problems in computational complexity and foundations of cryptography.