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.

AI systems reflect human values. However, the human values embedded in AI are skewed to the utilitarian and away from the greater good.

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.

Starting with a single frame in a simulation, a new system uses generative AI to emulate the dynamics of molecules, connecting static molecular structures and developing blurry pictures into videos.

Machine-learning models let neuroscientists study the impact of auditory processing on real-world hearing.

With their recently-developed neural network architecture, MIT researchers can wring more information out of electronic structure calculations.

Inspired by the mechanics of the human vocal tract, a new AI model can produce and understand vocal imitations of everyday sounds. The method could help build new sonic interfaces for entertainment and education.