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.

Study finds chiral structures, with mirror-image configurations, can emerge from nonchiral systems, suggesting new ways to engineer these materials.

The diagnostic, which requires only a simple urine test to read the results, could make lung cancer screening more accessible worldwide.

A new MIT study identifies six systemic factors contributing to patient hazards in laboratory diagnostics tests.

Lightweight and inexpensive, miniaturized mass filters are a key step toward portable mass spectrometers that could identify unknown chemicals in remote settings.

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

A new study finds that language regions in the left hemisphere light up when reading uncommon sentences, while straightforward sentences elicit little response.

Swallowing the device before a meal could create a sense of fullness, tricking the brain into thinking it’s time to stop eating.

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

MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.