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.
MIT affiliates engage with the MIT-IBM Computing Research Lab to bring rigorous theory to production systems.
The Institute welcomes its first cohort of QMIT Fellows this fall to advance interdisciplinary quantum research.
A new algorithm learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for.
Director of CSAIL and MIT professor honored for her contributions to robotics, artificial intelligence, and autonomous systems.
Assistant Professor Bailey Flanigan has arrived at complex computational methods for helping democracy thrive.
Researchers developed an automated framework that helps AI models generate CAD programs more accurately and efficiently.
Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI’s neural network before their chatbot ever says a word.
Through research and entrepreneurship, Professor Devavrat Shah is helping to design methods that can handle constant decision-making using limited computational resources.
Researchers developed an auditing technique to test generative AI models for malicious capabilities, without prompting them for illegal outputs.
Computer scientist Phillip Isola cuts through the hype to explain how AI agents work and what the future might hold for this rapidly advancing technology.