The machine-learning model could help scientists speed the development of new medicines.

Scientists demonstrate that AI-risk models, paired with AI-designed screening policies, can offer significant and equitable improvements to cancer screening.

MIT computer scientists and mathematicians offer an introductory computing and career-readiness program for incarcerated women in New England.

Researchers have created a method to help workers collaborate with artificial intelligence systems.

Researchers develop a way to test whether popular methods for understanding machine-learning models are working correctly.

Twist is an MIT-developed programming language that can describe and verify which pieces of data are entangled to prevent bugs in a quantum program.

To help clinicians avoid remedies that may potentially contribute to a patient’s death, researchers at MIT and elsewhere have developed a machine-learning model that could be used to identify treatments that pose a higher risk than other options.

The new machine-learning system can generate a 3D scene from an image about 15,000 times faster than other methods.

A deep learning model rapidly predicts the 3D shapes of drug-like molecules, which could accelerate the process of discovering new medicines.

Alumnus-founded Fitnescity makes it easier for users to schedule health tests, work with physicians, and interpret results.