Find out how humans and machines are collaborating at the 2017 Microsoft Research Faculty Summit
By Christopher Bishop, Program Co-Chair of Faculty Summit, Technical Fellow & Laboratory Director, Microsoft Research Cambridge The development of machine intelligence that amplifies human capabilities and experiences is at the heart of our AI research…
PX4 Attitude Estimation in AirSim
Shows how to check the PX4 attitude estimator behavior with AirSim and LogViewer.
Video Abstract: AI for Earth Classification
Understanding the land cover types and locations within specific regions enables effective environmental conservation. With sufficiently high spatial and temporal resolution, scientists and planners can identify which natural resources are at risk and the level…
Language and Information Technologies
The Language and Information Technologies group harnesses AI to understand how people interact with information systems and develop new experiences to empower people to be more productive. Our research interests are at the intersection of information…
Corralling a Band of Bandit Algorithms
Deep Learning for Machine Reading Comprehension
The goal of this project is to teach a computer to read and answer general questions pertaining to a document. We recently released a large scale MRC dataset, MS MARCO. We developed a ReasoNet model…