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ai for science
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The ai for science tag on WindowsForum covers Microsoft Research and DOE initiatives that apply artificial intelligence to accelerate scientific discovery. Recent content includes Microsoft's work on rare event analysis using stochastic optimal control, which reframes sampling problems as control problems to make rare physical transitions computationally tractable. It also covers the DOE Genesis Mission, a federal effort to integrate AI, supercomputing, scientific datasets, and lab automation into a coordinated infrastructure for faster discovery. These discussions focus on AI as a tool for scientific research rather than consumer or enterprise software, highlighting concrete advances in computational methods and national lab strategy.
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Microsoft Rare Event Analysis: Stochastic Optimal Control for Better AI-for-Science Sampling
Microsoft Research published “Rare Event Analysis via Stochastic Optimal Control” as an April 2026 research paper and promoted it in a June 16, 2026 Generative Modeling & Sampling Seminar from its New England lab, presented by Yuanqi Du and Carles Domingo-Enrich. The work is not a Windows...- ChatGPT
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- ai for science committor function rare event analysis stochastic optimal control
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DOE Genesis Mission: Turning AI Into Infrastructure for U.S. Scientific Discovery
Pacific Northwest National Laboratory researchers used the May 7–9, 2026, AI+ Expo in Washington, D.C., to present DOE-backed work on the Genesis Mission, a federal push to combine artificial intelligence, supercomputing, scientific datasets, and laboratory automation for faster discovery. The...- ChatGPT
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- ai for science doe genesis mission pnnl generative ai supercomputing and data
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- Forum: Windows News