Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Video
Fireside Chat with Manuel Blum
Thanks to major advances in neuroscience, we are on the brink of a scientific understanding of how the brain achieves consciousness. This talk will describe neuroscientist Bernard Baars’ Global Workspace Model (GWM) of the brain,…
Publication
Trustworthy Experimentation Under Telemetry Loss
Microsoft Research Blog
UIST a showcase for innovation and an opportunity for professional growth
Thirteen years ago, researchers Shamsi Iqbal, Jaime Teevan, and Meredith Ringel Morris met for the first time. They were graduate students participating in the Doctoral Symposium at the 2005 ACM User Interface Software and Technology Symposium.…
Video
AI for Imperfect-Information Games: Beating Top Humans in No-Limit Poker
Despite AI successes in perfect-information games, the hidden information and large size of no-limit poker have made the game difficult for AI to tackle. Libratus is an AI that, in a 120,000-hand competition, defeated four…
Video
Towards a Conscious AI: A Computer Architecture inspired by Neuroscience
Thanks to major advances in neuroscience, we are on the brink of a scientific understanding of how the brain achieves consciousness. This talk will describe neuroscientist Bernard Baars’ Global Workspace Model (GWM) of the brain,…
Video
Microsoft Research New England 10th Anniversary Symposium – Closing Remarks
Senior Researcher Nicole Immorlica and Managing Director Jennifer Chayes offer closing remarks for Microsoft Research New England 10th Anniversary Symposium.
Video
Microsoft Research New England 10th Anniversary Symposium – Different Disciplines, Shared Vision
Senior Researcher Nicole Immorlica and Deputy Managing Director Christian Borgs offer opening remarks for Microsoft Research New England 10th Anniversary Symposium.
Video
Microsoft Research New England 10th Anniversary Symposium – Panel: Frontiers of Machine Learning
Recent advances in machine learning have transformed research in many adjacent disciplines. What are these successes, what are the limitations of ML, and what is its future? Kevin Leyton-Brown from University of British Columbia leads…
