With a new, user-friendly interface, researchers can quickly design many cellular metamaterial structures that have unique mechanical properties.

The system they developed eliminates a source of bias in simulations, leading to improved algorithms that can boost the performance of applications.

MIT researchers built DiffDock, a model that may one day be able to find new drugs faster than traditional methods and reduce the potential for adverse side effects.

New LiGO technique accelerates training of large machine-learning models, reducing the monetary and environmental cost of developing AI applications.

Researchers use machine learning to build faster and more efficient hash functions, which are a key component of databases.