Updates and guides from us, plus hand-picked reads from tech & AI blogs.
The Institute welcomes its first cohort of QMIT Fellows this fall to advance interdisciplinary quantum research.
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.
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
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A Blog post by Multiverse Computing on Hugging Face
An expert in machine learning, statistics, and computation, Rakhlin succeeds Professor Ankur Moitra.
Machine Intelligence
Known for his clear and elegant writing style, Bertsekas shaped fields from control and optimization to large-scale computation and artificial intelligence.
Assistant Professor Bailey Flanigan has arrived at complex computational methods for helping democracy thrive.
Through research and entrepreneurship, Professor Devavrat Shah is helping to design methods that can handle constant decision-making using limited computational resources.
PhD student Rachel Sava, winner of the Envisioning the Future of Computing Prize, explores transformative improvements and dystopian risks of neural technology.
