Advancing the state of the art in computer science and related fields
More than 1,100 brilliant scientists and engineers push the boundaries of computing in multiple research areas in 13 research labs around the world, not all of which fall neatly into a particular discipline. A few examples of research that, while difficult to classify, remains critical to advancing the state of the art in computer science and related fields.
Discover what we've delivered to Microsoft and to the world, such as contributions to Kinect for Xbox 360, Xbox One, work to develop an HIV vaccine, and advancing education techniques in rural communities.
- Youshan Miao, Wentao Han, Kaiwei Li, Ming Wu, Fan Yang, Lidong Zhou, Vijayan Prabhakaran, Enhong Chen, and Wenguang Chen, ImmortalGraph: A System for Storage and Analysis of Temporal Graphs, in ACM Transactions on Storage (TOS), ACM – Association for Computing Machinery, December 2015.
- Li Deng and Navdeep Jaitly, DEEP DISCRIMINATIVE AND GENERATIVE MODELS FOR PATTERN RECOGNITION, no. MSR-TR-2015-59, November 2015.
- Meredith Ringel Morris, Andrew Begel, and Ben Wiedermann, Understanding the Challenges Faced by Neurodiverse Software Engineering Employees: Towards a More Inclusive and Productive Technical Workforce, in Proceedings of ASSETS 2015, ACM – Association for Computing Machinery, October 2015.
- Abdullah-Al Mamun, Iyswarya Narayanan, Di Wang, Anand Sivasubramaniam, and Hosam K. Fathy, Minimize Battery Degradation and Electricity Cost for Demand Response in Datacenters, in Dynamic Systems and Control (DSC) Conference, ASME, October 2015.
- Sree Harsha Yella and Andreas Stolcke, A Comparison of Neural Network Feature Transforms for Speaker Diarization, in Proc. Interspeech, ISCA - International Speech Communication Association, Dresden, September 2015.
- Suman Ravuri and Andreas Stolcke, Recurrent Neural Network and LSTM Models for Lexical Utterance Classification, in Proc. Interspeech, ISCA - International Speech Communication Association, Dresden, September 2015.
- Dilek Hakkani-Tur, Yun-Cheng Ju, Geoffrey Zweig, and Gokhan Tur, Clustering Novel Intents in a Conversational Interaction System with Semantic Parsing, Interspeech 2015 Conference, September 2015.
- Image Classification
- SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips
- Open Source Software from Microsoft for Academics
- HoloLens for Research
- Project Premonition
- How do people share digital and physical things in the home?
- MSR Ethics Review Framework
- Data Science at Microsoft
- The BBC micro:bit and Microsoft
- Robust Distributed System Nucleus (rDSN)
- Graph Engine
- Microsoft Academic Graph
- Language to Code
- RoomAlive Toolkit
- Depth from Time-of-Flight
- Certification of Symbolic Transaction