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.
- Li Deng and Navdeep Jaitly, DEEP DISCRIMINATIVE AND GENERATIVE MODELS FOR PATTERN RECOGNITION, no. MSR-TR-2015-59, November 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.
- 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.
- Yi Yang, Wen-tau Yih, and Christopher Meek, WikiQA: A Challenge Dataset for Open-Domain Question Answering, in Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, ACL – Association for Computational Linguistics, 21 September 2015.
- Kristina Toutanova, Danqi Chen, Patrick Pantel, Hoifung Poon, Pallavi Choudhury, and Michael Gamon, Representing Text for Joint Embedding of Text and Knowledge Bases, ACL – Association for Computational Linguistics, 17 September 2015.
- Young-Bum Kim, Benjamin Snyder, and Ruhi Sarikaya, Part-of-speech Taggers for Low-resource Languages using CCA Features, in Empirical Methods in Natural Language Processing (EMNLP), ACL – Association for Computational Linguistics, September 2015.
- M. Levit, A. Stolcke, R. Subba, S. Parthasarathy, S. Chang, S. Xie, T. Anastasakos, and B. Dumoulin, Personalization of Word-Phrase-Entity Language Models, in Proc. Interspeech, ISCA - International Speech Communication Association, Dresden, September 2015.
- LINE: Large-scale Information Network Embedding
- Pop Therapy
- DCQCN: Data Center QCN
- Image Classification
- SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips
- Open Source Software from Microsoft for Academics
- HoloLens for Research
- Project Premonition
- MSR Ethics Review Framework
- Data Science at Microsoft
- The BBC micro:bit and Microsoft
- Robust Distributed System Nucleus (rDSN)
- Graph Engine