A new study shows LLMs represent different data types based on their underlying meaning and reason about data in their dominant language.

Fusion’s future depends on decoding plasma’s mysteries. Simulations can help keep research on track and reveal more efficient ways to generate fusion energy.

They combined a blend of slimy and sticky proteins to produce a fast-acting, bacteria-blocking, waterproof adhesive for use in biomedical applications.

Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.

A new low-power system using radio frequency waves takes a major step toward autonomous, indoor drone navigation.

Ideal for propelling tiny satellites, the lightweight devices could be produced on board a spacecraft and cost much less than traditional thrusters.

New “Oreo” method from MIT CSAIL researchers removes footprints that reveal where code is stored before a hacker can see them.

A deep neural network called CHAIS may soon replace invasive procedures like catheterization as the new gold standard for monitoring heart health.

MIT researchers developed a new approach for assessing predictions with a spatial dimension, like forecasting weather or mapping air pollution.

Assistant Professor Sara Beery is using automation to improve monitoring of migrating salmon in the Pacific Northwest.