MIT researchers can now estimate how much information data are likely to contain, in a more accurate and scalable way than previous methods.

A new machine-learning system may someday help driverless cars predict the next moves of nearby drivers, cyclists, and pedestrians in real-time.

A new technique compares the reasoning of a machine-learning model to that of a human, so the user can see patterns in the model’s behavior.

An efficient machine-learning method uses chemical knowledge to create a learnable grammar with production rules to build synthesizable monomers and polymers.

A new technique for removing bias in datasets can enable machine-learning models to make loan approval predictions that are both fair and accurate.

MIT AI Hardware Program launches with five inaugural companies to advance AI technologies for the next decade.

A machine-learning model for image classification that’s trained using synthetic data can rival one trained on the real thing, a study shows.

A model’s ability to generalize is influenced by both the diversity of the data and the way the model is trained, researchers report.