Electrical engineering and computer science (EECS)

From MIT to IBM, expediting AI and quantum deployment

MIT affiliates engage with the MIT-IBM Computing Research Lab to bring rigorous theory to production systems.

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When AI art has no author: Study finds generated images often can’t be traced to training data

A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.

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With a feel for physics, AI models simulate a wider range of real-world scenarios

“GeoPT” helps AI models understand the basics of physics so they can simulate how objects respond to things like wind and water more efficiently and accurately.

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How a medical database developed at MIT evolved into a global standard of data-sharing

The visionary PhysioNet platform launched 25 years ago, based on a system developed at MIT in the 1970s. It has become one of the most comprehensive biomedical and clinical data repositories in existence.

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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.

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