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MIT News · AIFirst partyResearch

From MIT to IBM, expediting AI and quantum deployment

A MIT News feature profiles three IBM researchers—Srinivasan Arunachalam, Zhang-Wei Hong PhD ’25, and Irene Ko PhD ’24—who credit the MIT-IBM Computing Research Lab with helping translate theoretical work into industry applications in quantum machine learning, reinforcement learning, and trustworthy AI.

MIT News · AIFirst partyResearch

System helps humans predict when self-driving cars will make mistakes

MIT and Motional researchers developed the Concept-Wrapper Network (CW-Net), a method that translates a self-driving car's deep learning decisions into understandable concepts without altering driving performance. In private-track tests and simulation studies, CW-Net explanations helped safety drivers and nonexpert users better predict vehicle behavior. The research appears in Nature.

GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation models

What if pathology foundation models could do more with less? GigaPath-Flash and GigaTIME-Flash cut computational demands while maintaining strong performance, opening the door to larger studies and broader exploration. The post GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation models appeared first on Microsoft Research .

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