MIT researchers have devised a method for assessing how robust machine-learning models known as neural networks are for various tasks, by detecting when the models make mistakes they shouldn’t.

We live in a world of wireless signals flowing around us and bouncing off our bodies. MIT researchers are now leveraging those signal reflections to provide scientists and caregivers with valuable insights into people’s behavior and health.

MIT CSAIL unsealed a special time capsule from 1999 after a self-taught programmer Belgium solved a puzzle devised by MIT professor and famed cryptographer Ron Rivest.

Constantinos (“Costis”) Daskalakis, an MIT professor and CSAIL principal investigator, has won the 2018 ACM Grace Murray Hopper Award. Daskalakis was honored for “proving that the computational complexity of finding Nash equilibria is the same as that of finding Brouwer fixed points, a proof since extended to several other equilibrium notions.”

Researchers from MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) have shown that neural networks contain subnetworks that are up to one-tenth the size yet capable of being trained to make equally accurate predictions — and sometimes can learn to do so even faster than the originals.

A new algorithm developed by MIT researchers takes cues from panoramic photography to merge massive, diverse cell datasets into a single source that can be used for medical and biological studies.

In the advent of artificial intelligence, robots, and automation, today’s K-12 educators around the world are asking the question: “What skills do our students need to be ready for the future?”

The “Freshman Technology Experience” — a recent two-day event at Cambridge Rindge and Latin School (CRLS) in Cambridge, Massachusetts — brought MIT researchers into the classroom to explore just that

Peter Shor, the Morss Professor of Applied Mathematics at MIT, has received the 2018 Micius Quantum Prize, which is awarded within the field of quantum computation.

MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) announced that a 20-year-old cryptographic puzzle was just solved by a self-taught programmer from Belgium, 15 years earlier than MIT scientists expected.

A novel technique developed by MIT researchers rethinks hardware data compression to free up more memory used by computers and mobile devices, allowing them to run faster and perform more tasks simultaneously.