Physicists have used a machine-learning method to identify surprising new twists on the non-reciprocal forces governing a many-body system.

Companies are building AI applications on data foundations that were never designed to support machine learning.

MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...