AI system learns from many types of scientific information and runs
The "CRESt" AI platform learns from many types of scientific information and runs experiments to discover new materials. The system could generate solutions to energy problems that

A new technique transforms any computer vision model into one that can explain its predictions using a set of concepts a human could understand. The method generates more
Researchers from MIT and elsewhere developed an easy-to-use tool that enables someone to perform complicated statistical analyses on tabular data using just a few keystrokes.
Hundreds of scientists, business leaders, faculty, and students shared the latest research and discussed the potential future course of generative AI advancements during the
The MIT Generative AI Impact Consortium is a collaboration between MIT, founding member companies, and researchers across disciplines who aim to develop open-source generative
MIT experts discuss strategies and innovations aimed at mitigating the amount of greenhouse gas emissions generated by the training, deployment, and use of AI systems, in the
MIT and Hasso Plattner Institute establish collaborative hub for AI and creativity Jointly led by the MIT Morningside Academy for Design, MIT Schwarzman College of Computing, and the
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