Artificial Intelligence
Pursuing computing advances to create intelligent machines that complement human reasoning to augment and enrich our experience and competencies.
Publication
DISCO Nets: DISsimilarity COefficient Networks
Project
Enhancing Input On and Above the Interactive Surface with Muscle Sensing
Current interactive surfaces provide little or no in-formation about which fingers are touching the surface, the amount of pressure exerted, or gestures that occur when not in contact with the surface. These limitations constrain the…
Video
The Intern Experience at Microsoft Research Cambridge
Find out what it’s like to be an intern at the Microsoft Research lab in Cambridge, UK. Real interns talk about the projects they are working on, the culture of the lab and what it’s…
Microsoft Research Blog
Top PhD students gather at Microsoft Research Asia PhD Forum 2016
By Lily Sun, Research Program Manager, Microsoft Research Asia Since its inception in 1998, Microsoft Research Asia (MSRA) has anointed nearly 400 top researchers with the coveted honor of “Microsoft Research Fellow.” Some of them…
Publication
NewsQA: A Machine Comprehension Dataset
Project
Always-Available Mobile Interfaces
We have continually evolved computing to not only be more efficient, but also more accessible, more of the time (and place), and to more people. We have progressed from batch computing with punch cards, to…
Project
AirWave: Non-Contact Haptic Feedback Using Air Vortex Rings
Input modalities such as speech and gesture allow users to interact with computers without holding or touching a physical device, thus enabling at-a-distance interaction. It remains an open problem, however, to incorporate haptic feedback into…
Project
Muscle-Computer Interfaces (muCIs)
We explore the feasibility of muscle-computer input: an interaction methodology that directly senses and decodes human muscular activity rather than relying on physical device actuation or user actions that are externally visible or audible.
Project
Humantenna: Sensing Gestures Using the Body as an Antenna
We use the human body as an antenna for sensing whole-body gestures. Such an approach requires no instrumentation to the environment, and only minimal instrumentation to the user, thus enabling truly mobile applications.
Project
SoundWave: Using the Doppler Effect to Sense Gestures
We present SoundWave, a technique that leverages the speaker and microphone already embedded in most commodity devices to sense in-air gestures around the device.