An easy-to-use technique could assist everyone from economists to sports analysts.

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

Collaborative brings together charter school policy, practice, and research communities to help make research on charters more actionable, rigorous, and policy-relevant.

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

A system designed at MIT could allow sensors to operate in remote settings, without batteries.

At the MIT Blueprint Labs Preschool Research Convening, practitioners present studies on early childhood education and discuss future directions.

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.

Master's students Irene Terpstra ’23 and Rujul Gandhi ’22 use language to design new integrated circuits and make it understandable to robots.

“Minimum viewing time” benchmark gauges image recognition complexity for AI systems by measuring the time needed for accurate human identification.