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Generating scenarios for extreme events, without extreme data

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Generating scenarios for extreme events, without extreme data

Aug 24, 2026 · 6:00 PM · Jennifer Chu | MIT News

A new algorithm learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for.

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Paving the way for greener ammonia production

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Paving the way for greener ammonia production

Aug 20, 2026 · 6:45 PM · David L. Chandler | Department of Materials Science and Engineering

New MIT research could lead to better materials for a fossil-fuel-free process for making the chemical that's essential to fertilizer and other products.

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When AI art has no author: Study finds generated images often can’t be traced to training data

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When AI art has no author: Study finds generated images often can’t be traced to training data

Aug 18, 2026 · 4:35 PM · Rachel Gordon | MIT CSAIL

A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.

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Q&A: Rethinking how innovation happens

Aug 17, 2026 · 7:50 PM · Jason Sparapani | Department of Materials Science and Engineering

In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value — and why innovation resists simple formulas.

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With a feel for physics, AI models simulate a wider range of real-world scenarios

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With a feel for physics, AI models simulate a wider range of real-world scenarios

Aug 10, 2026 · 7:25 PM · Alex Shipps | MIT CSAIL

“GeoPT” helps AI models understand the basics of physics so they can simulate how objects respond to things like wind and water more efficiently and accurately.

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