Enabling privacy-preserving AI training on everyday devices
A new method developed by MIT researchers can accelerate a privacy-preserving artificial intelligence training method by about 81 percent. This…
A faster way to estimate AI power consumption
Due to the explosive growth of artificial intelligence, it is estimated that data centers will consume up to 12 percent…
MIT scientists build the world’s largest collection of Olympiad-level math problems, and open it to everyone
Every year, the countries competing in the International Mathematical Olympiad (IMO) arrive with a booklet of their best, most original…
Teaching AI models to say “I’m not sure”
Confidence is persuasive. In artificial intelligence systems, it is often misleading. Today’s most capable reasoning models share a trait with…
Jacob Andreas and Brett McGuire named Edgerton Award winners
MIT Associate Professor Jacob Andreas of the Department of Electrical Engineering and Computer Science [EECS] and MIT Associate Professor Brett McGuire of…
Bringing AI-driven protein-design tools to biologists everywhere
Artificial intelligence is already proving it can accelerate drug development and improve our understanding of disease. But to turn AI…
Human-machine teaming dives underwater
The electricity to an island goes out. To find the break in the underwater power cable, a ship pulls up…
Q&A: MIT SHASS and the future of education in the age of AI
The MIT School of Humanities, Arts, and Social Sciences (SHASS) was founded in 1950 in response to “a new era emerging…
A philosophy of work
What makes work valuable? Michal Masny, the NC Ethics of Technology Postdoctoral Fellow in the MIT Department of Philosophy, investigates the…
New technique makes AI models leaner and faster while they’re still learning
Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational resources. Traditionally,…