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