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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

Publication

Synchronous subnanosecond clock and data recovery for optically switched data centres using clock phase caching

Kari A. Clark, Daniel Cletheroe, Thomas Gerard, Istvan Haller, Krzysztof Jozwik, Kai Shi, Benn Thomsen, Hugh Williams, Georgios Zervas, Hitesh Ballani, Polina Bayvel, Paolo Costa, Zhixin Liu

Nature Electronics | June 2020

Project

Publication

A1: A Distributed In-Memory Graph Database

Knut Magne Risvik, Paul Brett, Miguel Castro, Wonhee Cho, Nikolas Gloy, Karthik Kalyanaraman, Joshua Cowhig, Richendra Khanna, John Pao, Matthew Renzelmann, Alex Shamis, Timothy Tan, Shuheng Zheng

2020 ACM SIGMOD International Conference on Management of Data | June 2020

Project

Publication

Through Fog High Resolution Imaging Using Millimeter Wave Radar

Junfeng Guan, Sohrab Madani, Suraj Jog, Saurabh Gupta, Haitham Hassanieh

CVPR’20 | June 2020

Publication

Tabellion: secure legal contracts on mobile devices

Saeed Mirzamohammadi, Yuxin (Myles) Liu, Tianmei Ann Huang, Ardalan Amiri Sani, Sharad Agarwal, Sung Eun (Summer) Kim

ACM MobiSys | June 2020

Publication

Buddy compression: enabling larger memory for deep learning and HPC workloads on GPUs

Esha Choukse, Michael B. Sullivan, Mike O’Connor, Mattan Erez, Jeff Pool, David Nellans, Stephen W. Keckler

2020 International Symposium on Computer Architecture | May 2020

Podcast

Harvesting randomness, HAIbrid algorithms and safe AI with Dr. Siddhartha Sen

May 27, 2020

Dr. Siddhartha Sen is a Principal Researcher in MSR’s New York City lab, and his research interests are, if not impossible, at least impossible sounding: optimal decision making, universal data structures, and verifiably safe AI.…