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.

Sometimes, software is just like us. It can be bloated, slow, and messy. Humans might see a doctor if these symptoms persist (maybe not for messiness), but rarely do we push a flawed software program to go see its developer time and time again.