Research Focus is expanding beyond the newsletter! Introducing #MicrosoftResearchFocus, a new way to catch up on research news from across Microsoft. In this edition, host Sowbhagya Suresh highlights foundational research driving new insights and advances across AI, science, and beyond, including: • What everyday AI use reveals about how people work • A framework that helps AI agents tackle complex tasks while significantly reducing processing demands • A new foundation model for biomolecular structure, dynamics, and function, now available in public preview • A machine-learning approach to improving weather forecasts weeks in advance Plus, more advances in coding agents, computer-use agents, and AI-assisted teaching. Watch this edition right here or listen on your preferred podcast platform.
Microsoft Research
Think Tanks
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We advance science and technology to benefit humanity.
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At Microsoft Research, we accelerate scientific discovery and technology innovation to empower every person and organization on the planet to achieve more. We do this by bringing together the best minds across diverse disciplines and backgrounds to take on the most pressing research challenges for Microsoft and for society. Our Research Lens We consider research directions through the lens of the positive impact we aspire to create with and for customers, communities, and all of society.
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http://www.microsoft.com/research
External link for Microsoft Research
- Industry
- Think Tanks
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- Redmond, Washington
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Updates
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Early in her computer science journey, Microsoft Partner Research Manager Jennifer Neville worried that everyone else knew what was going on … and she didn’t. Then, someone gave her advice she carried throughout her career: ask the question anyway. Chances are, someone else is wondering the same thing. Neville joins host Principal Applied Scientist Chad Atalla to reflect on curiosity, courage, and a lesson that helped shape her career in research. https://msft.it/6042a0ZyE
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The first intern at Microsoft Research Asia–Tokyo arrived as a computer vision researcher. She left with a broader view of physical intelligence, spanning perception, language, learning, and real-world action. https://msft.it/6042a0ume
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Why would someone return to difficult research questions again and again? For Microsoft Research Catalyst lab director Chris White, research isn’t simply the work he does. It’s part of what sustains him. On this episode of the Microsoft Research Podcast, White reflects on the curiosity and sense of purpose that have shaped his career—and the kinds of problems that continue to pull him toward research. https://msft.it/6044aLS6A
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In this issue: Can AI agents solve complex problems more reliably and efficiently?; addressing a bottleneck for coding agents; evolving agent skills from offline telemetry; a look at how AI needs vary across industries; new data shows an AI tool is saving time for busy teachers; a breakthrough in extended-range weather forecasting; and a public preview for BioEmu2, a deep learning model helping scientists understand how proteins work.
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AI researcher Jennifer Neville has made it her job to ask questions and seek answers that contribute to AI’s progress. It started when she was a young intern thinking about how AI might master the strategy game 𝘨𝘰, and continues in her current role making the tech more effective for users. For the Microsoft research manager, one of the biggest open questions now surrounds the transformer architecture driving today’s fast-paced advances and how the research community will respond to its known limitations. Join host Principal Applied Scientist Chad Atalla for the full conversation on the Microsoft Research Podcast: https://msft.it/6046aa7Yr
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Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. https://msft.it/6046aaFMo
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AI agents are writing more code. How can developers help ensure that code is correct? Microsoft Research’s Proof-Driven Development (PDD) Kit explores a more rigorous approach: it translates a developer’s intent into a formal specification, then uses formal verification to prove that generated code meets it. PDD Kit works with Verus for Rust and is integrated with GitHub Next’s Chopin, bringing formal methods into an AI-assisted development workflow for teams. See the work in action at #GitHubUniverse, Oct. 28–29: https://msft.it/6042aae1M
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For decades, a key question about the challenges of high-dimensional computation resisted proof. New research resolves the KLS conjecture, removing a major barrier to understanding the efficiency of randomized algorithms used throughout science and computing. https://msft.it/6046aaTzy
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What keeps someone hopeful when the problems they’re working to solve feel overwhelming? https://msft.it/6043avFNx For Chris White, who leads Catalyst Lab at Microsoft Research, it’s knowing that research and technology can make a difference. Throughout his career, that belief has motivated him to take on difficult, consequential problems while staying focused on what technology can enable for people. On the Microsoft Research Podcast, Chris joins host Principal Technical Program Manager Weishung L. and reflects on hope, service, and what keeps him committed to making a positive difference.