Conceptualization
The Conceptualization model aims to map text format entities into semantic concept categories with some probabilities, which may depend on the context texts of the entities. As an example, “Microsoft” could be automatically mapped to…
Boosting fitness and workplace performance looks to machine learning for answers
By Miran Lee, Principal Research Program Manager, Microsoft Research A field study exploring the usability of integrating fitness equipment into a workstation environment has researchers looking to tap next-generation machine learning innovations to address the…
Improving Reinforcement Learning with Human Input
Although reinforcement learning (RL) has had many successes, significant amounts of time and/or data can be required to reach acceptable performance. If agents or robots are to be deployed in real world environments, it is…
No-Regret Replanning Under Uncertainty
Intern talk: Understanding and Mitigating Solver Instability in Verification Tools
Abstract: Program verification tools such as Dafny and F* rely on Z3, an SMT-based automated theorem prover, to dispatch verification conditions. Z3’s powerful automation relieves programmers of the burden of writing tedious manual proofs. However,…
Emotion Recognition for MS Cognitive Services
Emotion Recognition takes an image with faces as an input, and returns the confidence across a set of emotions for each face in the image, as well as bounding box for the face (using MS Face API). The…
CRISPR ML
End-to-end guide design for CRISPR/Cas9 with machine learning Azimuth and Elevation: On-target and off-target guide prediction The CRISPR/Cas9 system provides state-of-the art genome editing capabilities. However, several facets of this system are under investigation for…
SlideShow Gestures-WPF
The SlideShow Gestures-WPF sample shows how you are able to use the Kinect for Windows SDK to control Windows applications through the use of gestures. It uses research from the Microsoft Research Cambridge lab to…