Why it’s critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what…
At MIT, a continued commitment to understanding intelligence
The MIT Siegel Family Quest for Intelligence (SQI), a research unit in the MIT Schwarzman College of Computing, brings together…
Generative AI tool helps 3D print personal items that sustain daily use
Generative artificial intelligence models have left such an indelible impact on digital content creation that it’s getting harder to recall…
3 Questions: How AI could optimize the power grid
Artificial intelligence has captured headlines recently for its rapidly growing energy demands, and particularly the surging electricity usage of data centers that…
Decoding the Arctic to predict winter weather
Every autumn, as the Northern Hemisphere moves toward winter, Judah Cohen starts to piece together a complex atmospheric puzzle. Cohen,…
Stone Center on Inequality and Shaping the Future of Work Launches at MIT
The James M. and Cathleen D. Stone Center on Inequality and Shaping the Future of Work officially launched on Nov. 3,…
MIT scientists investigate memorization risk in the age of clinical AI
What is patient privacy for? The Hippocratic Oath, thought to be one of the earliest and most widely known medical…
Using design to interpret the past and envision the future
Some of designer C Jacob Payne’s projects present new, futuristic products — such as zero-gravity footwear for astronauts, and electronic-embedded…
MIT in the media: 2025 in review
“At MIT, innovation ranges from awe-inspiring technology to down-to-Earth creativity,” noted Chronicle, during a campus visit this year for an episode…
Guided learning lets “untrainable” neural networks realize their potential
Even networks long considered “untrainable” can learn effectively with a bit of a helping hand. Researchers at MIT’s Computer Science…