MIT in the media: 2023 in review
MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.
MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.
During the last week of November, MIT hosted symposia and events aimed at examining the implications and possibilities of generative AI.
Anushree Chaudhuri and Rupert Li will pursue graduate studies in the United Kingdom.
The wearable device, designed to monitor bladder and kidney health, could be adapted for earlier diagnosis of cancers deep within the body.
Led by the Media Lab’s City Science research group, the CSN is a collaboration of institutions and researchers sharing a common goal of enabling more livable, equitable, and resilient communities.
Bridging Talents and Opportunities event serves as an outreach initiative for the Latin community.
Inaugural Fast Forward Faculty Fund grants aim to spur new work on climate change and deepen collaboration at MIT.
Martin Puryear’s monumental sculpture “Lookout” has turned heads with its novel brick design. Here’s how MIT helped him build it.
The low-cost FibeRobo, which is compatible with existing textile manufacturing techniques, could be used in adaptive performance wear or compression garments.
A new coding app from the Lifelong Kindergarten group at the MIT Media Lab enables young people around the world to use mobile devices to express themselves creatively.
Tuskegee University and MIT deepen a connection that’s existed from the start.
An MIT professor and students collaborate with Chilean partners for an exhibition marking 50 years since the Allende presidency.
An interactive architectural installation combined textile arts and engineering on a desert landscape.
MIT’s program for first-year students helps develop hands-on maker skills, with tools, socializing, and safety training.
Open-source software by MIT MAD Fellow Jonathan Zong and others in the MIT Visualization Group reveals online graphics’ embedded data in the user’s preferred degree of granularity.