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In the news | Nature

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

February 18, 2026

Long-term preservation of digital information is vital for safeguarding the knowledge of humanity for future generations. Existing archival storage solutions, such as magnetic tapes and hard disk drives, suffer from limited media lifespans that render them unsuitable for long-term data…

In the news | National Academy of Engineering

Doug Burger elected to National Academy of Engineering 

February 10, 2026

Academy membership honors individuals who have made outstanding contributions to engineering research, practice, or education. Burger was elected for accelerating cloud-scale computing and networking infrastructures with field-programmable systems.

Collab AI group header | two people conversing with another person displayed on a virtual mobile device
Articles

From One to Many 

February 9, 2026

By Jaime Teevan, Chief Scientist & Technical Fellow In recent years we’ve all lived through the transition to cloud computing, a sudden shift to remote work, and now the rapid rise of AI. Each individually has felt like a seismic…

In the news | New benchmarks and models for low-resource languages, medical and brain foundation models, AI in space, and innovation kits

“Cognitive Load Estimation Using Brain Foundation Models and Interpretability for BCIs” paper featured in MSR Research Focus Channel 

February 9, 2026

The paper "Cognitive Load Estimation Using Brain Foundation Models and Interpretability for BCIs", accepted for publication during ICASSP 2026, with authors Deeksha  M Shama,  Dimitra Emmanouilidou, Ivan Tashev,  is featured in the MSR Research Focus Channel.

Smart Replay - flowchart diagram showing the flow between Encoder, State Predictor, and Policy
Microsoft Research Blog

Rethinking imitation learning with Predictive Inverse Dynamics Models 

February 5, 2026 | Pallavi Choudhury, Lukas Schäfer, Chris Lovett, Katja Hofmann, and Sergio Valcarcel Macua

This research looks at why Predictive Inverse Dynamics Models often outperform standard Behavior Cloning in imitation learning. By using simple predictions of what happens next, PIDMs reduce ambiguity and learn from far fewer demonstrations.

Three white line icons on a blue‑to‑purple gradient background: a vertical audio waveform on the left, a globe showing Africa and Europe in the center, and a network on the right.
Microsoft Research Blog

Paza: Introducing automatic speech recognition benchmarks and models for low resource languages 

February 4, 2026 | Mercy Muchai, Kevin Chege, Nick Mumero, and Stephanie Nyairo

Microsoft Research unveils Paza, a human-centered speech pipeline, and PazaBench, the first leaderboard for low-resource languages. It covers 39 African languages and 52 models and is tested with communities in real settings.

In the news | Unlocked

Giving every language a voice 

February 4, 2026

Recognizing what’s at stake, UNESCO designated 2022–2032 as the Decade of Indigenous Languages. This highlights a global effort to support revitalization and digital inclusion, and the work that partners in places like Nunavut are helping advance. According to the UNESCO Atlas of World’s Languages…

In the news | LinkedIn Article

When Minutes Matter: Advancing Wildfire Early Detection with ALERTCalifornia 

February 3, 2026

Strengthening wildfire response takes more than any single institution, any single technology, or any single moment of heroism. It takes sustained collaboration between the people building new tools and the first responders relying on them under the harshest conditions.

Three white icons on a blue‑green gradient: a ribcage scan, a circuit‑style document, and a neural network diagram
Microsoft Research Blog

UniRG: Scaling medical imaging report generation with multimodal reinforcement learning 

January 27, 2026 | Sheng Zhang, Flora Liu, Guanghui Qin, Mu Wei, and Hoifung Poon

AI can help generate medical image reports, but today’s models struggle with varying reporting schemes. Learn how UniRG uses reinforcement learning to boost performance of medical vision-language models.

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