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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.

How an MIT research project became a global programming language

With millions of users across the world, Julia has been used to conduct cutting-edge research and to design new drugs, jet engines, heat pumps, and more.

Looking beyond natural sequences

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.

AgentHands: Generating interactive hand gestures for spatially grounded agent conversations in XR

Human-Computer Interaction and Visualization

Making Knowledge Distillation Cheap Enough to Run at Scale

A Blog post by Multiverse Computing on Hugging Face

Alexander Rakhlin named director of the MIT Statistics and Data Science Center

An expert in machine learning, statistics, and computation, Rakhlin succeeds Professor Ankur Moitra.

Towards a quantum computer that learns from its errors

Machine Intelligence

Professor Emeritus Dimitri Bertsekas, influential computer scientist and prolific author, dies at 83

Known for his clear and elegant writing style, Bertsekas shaped fields from control and optimization to large-scale computation and artificial intelligence.

Following the questions where they lead

Assistant Professor Bailey Flanigan has arrived at complex computational methods for helping democracy thrive.

Helping AI models to meet the real world

Through research and entrepreneurship, Professor Devavrat Shah is helping to design methods that can handle constant decision-making using limited computational resources.

Hugging Face Models on Foundry Managed Compute

Toward a future that preserves benefits of neurotechnology for all

PhD student Rachel Sava, winner of the Envisioning the Future of Computing Prize, explores transformative improvements and dystopian risks of neural technology.