MIT Global Seed Funds catalyze research in over 20 countries

Launched in 2008, the program has expanded exponentially and spent $30 million on high-impact research.

Alan Whitney, MIT Haystack Observatory radio astronomer who pioneered very long baseline interfereometry, dies at 81

Longtime research scientist who served as associate director and interim director helped guide Haystack to decades of influential leadership in the development and refinement of the VLBI technique.

School of Engineering welcomes new faculty in 2024-25

The newest MIT engineering faculty are conducting research across a diverse range of subject areas.

MIT Schwarzman College of Computing welcomes 11 new faculty for 2025

The faculty members occupy core computing and shared positions, bringing varied backgrounds and expertise to the MIT community.

Lincoln Laboratory and Haystack Observatory team up to unveil hidden parts of the galaxy

A proposed telescope made of thousands of tiny, identical satellites will work together to reveal low-frequency radio waves in space.

New software designs eco-friendly clothing that can reassemble into new items

To reduce waste, the Refashion program helps users create outlines for adaptable clothing, such as pants that can be reconfigured into a dress. Each component of these pieces can be replaced, rearranged, or restyled.

In a surprising discovery, scientists find tiny loops in the genomes of dividing cells

Enabled by a new high-resolution mapping technique, the findings overturn a long-held belief that the genome loses its 3D structure when cells divide.

Book reviews technologies aiming to remove carbon from the atmosphere

In “Carbon Removal,” Howard Herzog and Niall MacDowell assess proposed methods of removing carbon already in the atmosphere as a means of mitigating climate change.

Breaking the old model of education with MIT Open Learning

Free MIT study materials enabled 16-year-old Vivan Mirchandani’s nontraditional learning path, opening up scientific research and academic opportunities.

Method teaches generative AI models to locate personalized objects

After being trained with this technique, vision-language models can better identify a unique item in a new scene.