Researchers develop tools to help data scientists make the features used in machine-learning models more understandable for end users.

Christoph Paus, the MIT physicist who co-led the effort to detect the particle, looks ahead to the next 10 years.

With over 200 published papers, multiple books, and countless media appearances, Emanuel’s 41 years at MIT have been marked by influential research into hurricane formation and climate change outreach.

Foams that incorporate small amounts of the gas could be delivered to the GI tract to combat colitis and other conditions.

An anomaly-detection model developed by SMART utilizes machine learning to quickly detect microbial contamination.

This robotic system uses radio frequency signals, computer vision, and complex reasoning to efficiently find items hidden under a pile.

The second AI Policy Forum Symposium convened global stakeholders across sectors to discuss critical policy questions in artificial intelligence.

MIT spinout Quaise Energy is working to create geothermal wells made from the deepest holes in the world.

By tracing the steps of liver regrowth, MIT engineers hope to harness the liver’s regenerative abilities to help treat chronic disease.

Hydrogen fuel has long been seen as a potentially key component of a carbon-neutral future. At the 2022 MIT Energy Initiative Spring Symposium, industry experts describe efforts to produce it at scale.