
In a new MIT course co-taught by EECS and philosophy professors, students tackle moral dilemmas of the digital age.

New faculty member Kaiming He discusses AI’s role in lowering barriers between scientific fields and fostering collaboration across scientific disciplines.

A deep neural network called CHAIS may soon replace invasive procedures like catheterization as the new gold standard for monitoring heart health.

“We need to both ensure humans reap AI’s benefits and that we don’t lose control of the technology,” says senior Audrey Lorvo.

By automatically generating code that leverages two types of data redundancy, the system saves bandwidth, memory, and computation.
Barbara Engelhardt, Gladstone Institutes, Stanford University Thursday, February 6, 20254:00 – 5:00 pm (refreshments at 3:30 pm)Monadnock (Merkin building/415M 2040) 📅 Add to your calendar 🖊️ Register here A week from today — please…

Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.

As the Director of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), Rus leads over 1,700 researchers in pioneering innovations to advance computing and improve global well-being.

Researchers at MIT, NYU, and UCLA develop an approach to help evaluate whether large language models like GPT-4 are equitable enough to be clinically viable for mental health support.

A new technique identifies and removes the training examples that contribute most to a machine-learning model’s failures.