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.

The consortium will bring researchers and industry together to focus on impact.

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

A new approach, which takes minutes rather than days, predicts how a specific DNA sequence will arrange itself in the cell nucleus.

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.

The advance holds the promise to reduce error-correction resource overhead.

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.