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Researching next-generation systems and networks that power reliable, scalable, and efficient computing.

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

Microsoft at NSDI 2026: Advances in large-scale networked systems

Project Silica’s advances in glass storage technology

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Agent Lightning: Adding reinforcement learning to AI agents without code rewrites

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Published Date

Microsoft Research Blog

Project Silica’s advances in glass storage technology

February 18, 2026 | Richard Black

Project Silica introduces new techniques for encoding data in borosilicate glass, as described in the journal Nature. These advances lower media cost and simplify writing and reading systems while supporting 10,000-year data preservation.

Publication

Laser writing in glass for dense, fast and efficient archival data storage

James Allison, Patrick Anderson, Erika Aranas, Youssef Assaf, Richard Black, Marco Caballero, Burcu Canakci, John Antony Chattaway, Andromachi Chatzieleftheriou, James Clegg, Daniel Cletheroe, Bridgette Cooper, Tim Deegan, Austin Donnelly, Rokas Drevinskas, Zhonghe Feng, Christos Gkantsidis, Ariel Gomez Diaz, Istvan Haller, Freddie Hong, Teodora Ilieva, Russell Joyce, Valentin Kapitany, Mint Kunkel, David Lara, Takashi Lawson, Sergey Legtchenko, Fanglin Liu, Xiaoqi Liu, Bruno Magalhaes, Sebastian Nowozin, Hiske Overweg, Antony Rowstron, Masaaki Sakakura, Nina Schreiner, Adam Smith, Oliver Snowdon, Ioan Stefanovici, David Sweeney, Govert Verkes, Phil Wainman, Charles Whittaker, Pablo Wilke Berenguer, Hugh Williams, Thomas Winkler, Stefan Winzeck

Nature | February 2026, Vol 650(8102): pp. 606-612

Project

Publication

VTC: DNN Compilation with Virtual Tensors for Data Movement Elimination

Muyan Hu, Ahan Gupta, Jiachen Yuan, Vima Gupta, Taeksang Kim, Xin Xu, Janardhan (Jana) Kulkarni, Ofer Dekel, V. Adve, Charith Mendis

OSDI 2026 | February 2026

Publication

Reducing the Costs of Proof Synthesis on Rust Systems by Scaling Up a Seed Training Set

Nongyu Di, Tianyu Chen, Shan Lu, Shuai Lu, Yeyun Gong, Peng Cheng, Jay Lorch, Yuan Yao, Xiaoxing Ma

February 2026

Project

Publication

SUTRADHARA : An Intelligent Orchestrator-Engine Co-design for Tool-based Agentic Inference

Anish Biswas, Kanishk Goel, Jayashree Mohan, Alind Khare, A. Parayil, Ramachandran Ramjee, Chetan Bansal

February 2026

Project

Publication

OrbitalBrain: A Distributed Framework For Training ML Models in Space

Om Chabra, Chenning Li, Kevin Hsieh, Santiago Segarra, Behnaz Arzani, Peder Olsen, Ranveer Chandra

New Ideas in Networked Systems (NINeS) | February 2026

Publication

Optimizing Agentic Workflows using Meta-tools

Sami Abuzakuk, Anne-Marie Kermarrec, Rishi Sharma, Rasmus Moorits Veski, M. Vos

ArXiv | January 2026, Vol abs/2601.22037

Publication

Towards Fully-Controllable Packet Steering for AI Backend Networks with SRv6

Shaofeng Wu, Zhixiong Niu, Riff Jiang, Guohan Lu, Chen Tian, Hong Xu, Yongqiang Xiong

MSR-TR-2026-6 | January 2026

Published by Microsoft

Video

Microsoft Research India 2025 Highlights

January 19, 2026

Here are some highlights of the research and impact at Microsoft Research India in 2025, along with some glimpses of the lab milieu.

Microsoft Research India 2025 Key Highlights

05:52

Publication

Improving training time and GPU utilization in geo-distributed language model training

Palak LNU, Tella Rajashekhar Reddy, Bhaskar Kataria, Rohan Gandhi, Karan Tandon, Debopam Bhattacherjee, Venkat Padmanabhan

ArXiv | January 2026