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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

Argo: Efficient Importance Labeling for Enterprise Email Systems

Siddhant Ray, Ganesh Ananthanarayanan, Kevin Chian, Yang Guo, C. Hill, Jack W. Stokes, Victor Wang, Junchen Jiang

May 2026

arXiv | May 2026

Publication

UFO2: The Desktop AgentOS

Chaoyun Zhang, He Huang, Chiming Ni, Jian Mu, Si Qin, Shilin He, Lu Wang, Fangkai Yang, Pu Zhao, Chao Du, Liqun Li, Yu Kang, Zhao Jiang, Suzhen Zheng, Rujia Wang, Jiaxu Qian, Ming-Jie Ma, Jianjun Lou, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

Transactions on Machine Learning Research | May 2026

Project Project

Publication

Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants

Bozhi You, Irene Wang, Z. Mustafaoglu, Abhinav Jangda, Angelica Moreira, Roshan Dathathri, Divya Mahajan, K. Pingali

9th MLSys Conference 2026 | May 2026

Publication

Nebula: Proving Machine Executions via Folding Schemes

Arasu Arun, Srinath Setty

May 2026

IEEE | May 2026

Publication

VeriCache: Turning Lossy KV Cache into Lossless LLM Inference

Jiayi Yao, Samuel Y. Shen, Kuntai Du, Shaoting Feng, Dongjoo Seo, Rui Zhang, Yuyang Huang, Yuhan Liu, Shan Lu, Junchen Jiang

May 2026

arXiv | May 2026

Career Opportunity

Senior Researcher – AI Computer Architecture

Posted: June 23, 2026

Location: Cambridge, UK

Research Area(s): Artificial intelligence, Computer vision, Hardware and devices, Systems and networking

The future of AI is being built not just in software, but in the physics of light. Our Future AI Infrastructure (FAI) team at Microsoft Research Cambridge is pioneering new hardware and system technologies to…

Publication

Skim: Speculative Execution for Fast and Efficient Web Agents

Mike Wong, Kevin Hsieh, Suman Nath, Ravi Netravali

May 2026

arXiv | May 2026

Publication

Near-optimal Online Traffic Engineering

Arvin Ghavidel, Pooria Namyar, Nikolai Matni, W. Willinger, Ramesh Govindan

May 2026

arXiv | May 2026

Microsoft Research Blog

GridSFM: A new, small foundation model for the electric grid

May 13, 2026 | Weiwei Yang, Andrea Britto Mattos Lima, Thiago Vallin Spina, Spencer Fowers, Baosen Zhang

Introducing GridSFM, a small foundation model that can predict AC optimal power flow in milliseconds, boosting efficiency and unlocking cost savings. Learn how GridSFM gives grid operators direct visibility into congestion, stability, and system health.

Three white line icons—a transmission tower, a lightning bolt, and a stopwatch—displayed on a teal-to-green gradient background with a subtle textured pattern.

Publication

GridSFM: A Foundation Model for AC Optimal Power Flow

Weiwei Yang, Andrea Britto Mattos Lima, Thiago V. Spina, Spencer Fowers, Baosen Zhang, Chris White

May 2026

Project

Systems & networking

Highlights