Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Publication
Predicting History
Project
Conversational Agents that See
In this project we explore what it might mean to augment digital agents such as Microsoft Cortana with the ability to see. By partnering with experts in computer vision, speech and machine learning, we ask whether…
Video
Machine Learning Systems for Highly Distributed and Rapidly Growing Data
The usability and practicality of machine learning are largely influenced by two critical factors: low latency and low cost. However, achieving low latency and low cost is very challenging when machine learning depends on real-world…
Video
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning
Probabilistic Q-learning is a promising approach balancing exploration and exploitation in reinforcement learning. However, existing implementations have significant limitations: they either fail to incorporate uncertainty about long-term consequences of actions or ignore fundamental dependencies in…
