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Systems & networking

Researching and inventing new technologies for next-generation infrastructures and platforms for sensors, devices and the cloud.

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Efficient AI | Making Azure's big bet possible

Weishung Liu on the Microsoft Research Podcast

What’s Your Story: Weishung Liu | Microsoft Research Podcast

AI Infrastructure | Towards efficient AI/ML deployment

Microsoft at ASPLOS 2024: Advancing hardware and software for high-scale, secure, and efficient modern applications

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Published Date

Video

Tight Learning Bounds for Multi-Class Classification

December 8, 2017 | Mehryar Mohri

Extreme classification is a rapidly growing research area focusing on multi-class and multi-label problems involving an extremely large number of labels. Many applications have been found in diverse areas ranging from language modeling to document…

Tight Learning Bounds for Multi-Class Classification

0:38:03

Publication

Decoding with Value Networks for Neural Machine Translation

Di He, Hanqing Lu, Yingce Xia, Tao Qin, Liwei Wang, Tieyan Liu

31st Conference on Neural Information Processing Systems (NIPS 2017) | December 2017

Publication

Mean Field Residual Networks: On the Edge of Chaos

Ge Yang, Samuel Schoenholz

Advances in Neural Information Processing Systems 30 | December 2017

Publication

Towards High-Performance Prediction Serving Systems

Yunseong Lee, Alberto Scolari, Byung-Gon Chun, Matteo Interlandi, Markus Weimer

31st Conference on Neural Information Processing Systems | December 2017

Microsoft Research Blog

Microsoft Research and Microsoft Azure improve the efficiency and capacity of cloud-scale optical networks

December 1, 2017 | Victor Bahl

Today, at HotNets 2017, the Sixteenth ACM Workshop on Hot Topics in Networks, we shared with you some important research results from Microsoft Research and Microsoft Azure that show how we can increase the capacity of…