Artificial Intelligence
Pursuing computing advances to create intelligent machines that complement human reasoning to augment and enrich our experience and competencies.
Publication
Neural Network Weight Decay
Publication
Active Learning with Model Selection
Video
Project Adam demo from Faculty Summit 2014
Watch Project Adam identify different breeds of dogs in this demo from the Faculty Summit 2014 keynote address.
Project
CityNoise
CityNoise is a project led by Dr. Yu Zheng in Microsoft Research. The project aims to diagnose a city’s noise pollution with crowdsensing and ubiquitous data. It reveals the fine-grained noise situation throughout a city…
Video
Harry Shum: Faculty Summit 2014 Keynote
Harry Shum, executive vice president of Microsoft’s Technology and Research group, opens the Faculty Summit by highlighting major efforts at Microsoft Research. Two of significance are the integration of Microsoft Academic Search into Bing with…
Publication
Learning Fast Hand Pose Recognition
Project
Learning to be a depth camera for close-range human capture and interaction
We present a machine learning technique for estimating absolute, per-pixel depth using any conventional monocular 2D camera, with minor hardware modifications. Our approach targets close-range human capture and interaction where dense 3D estimation of hands…