Innovative AI system from MIT CSAIL melds simulations and physical testing to forge materials with newfound durability and flexibility for diverse engineering uses.

Researchers developed a simple yet effective solution for a puzzling problem that can worsen the performance of large language models such as ChatGPT.

Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.

The ambient light sensors responsible for smart devices’ brightness adjustments can capture images of touch interactions like swiping and tapping for hackers.

Whether artificial intelligence leads to more or less energy use will depend on how we adapt to using it.

"We're really able to come up with workable, feasible solutions to problems in a much shorter time."

MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.

A multimodal system uses models trained on language, vision, and action data to help robots develop and execute plans for household, construction, and manufacturing tasks.

MIT researchers propose “PEDS” method for developing models of complex physical systems in mechanics, optics, thermal transport, fluid dynamics, physical chemistry, climate, and more.

MIT researchers introduce a method that uses artificial intelligence to automate the explanation of complex neural networks.