New algorithms enable efficient machine learning with symmetric data
This new approach could lead to enhanced AI models for drug and materials discovery.
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This new approach could lead to enhanced AI models for drug and materials discovery.
Groundbreaking MIT concert, featuring electronic and computer-generated music, was a part of the 2025 International Computer Music Conference.
In this post, we demonstrate how to create a powerful research assistant for drug discovery using Strands Agents and Amazon Bedrock. This AI assistant can search multiple scientific databases simultaneously…
Neural Jacobian Fields, developed by MIT CSAIL researchers, can learn to control any robot from a single camera, without any other sensors.
A computer vision study compares changes in pedestrian behavior since 1980, providing information for urban designers about creating public spaces.
ChemXploreML makes advanced chemical predictions easier and faster — without requiring deep programming skills.
At the AWS Summit in New York City, we introduced a comprehensive suite of model customization capabilities for Amazon Nova foundation models. Available as ready-to-use recipes on Amazon SageMaker AI,…
The faculty members’ work comprises multifaceted research and scholarship across a wide range of disciplines.
MIT researchers found that special kinds of neural networks, called encoders or “tokenizers,” can do much more than previously realized.
The AI-enabled platform serves as a hub for MIT’s lifelong learning opportunities.