New research could allow a person to correct a robot’s actions in real-time, using the kind of feedback they’d give another human.

FragFold, developed by MIT Biology researchers, is a computational method with potential for impact on biological research and therapeutic applications.

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.

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

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.

By automatically generating code that leverages two types of data redundancy, the system saves bandwidth, memory, and computation.

New research could improve the safety of drone shows, warehouse robots, and self-driving cars.

Sometimes, it might be better to train a robot in an environment that’s different from the one where it will be deployed.