Exploring the societal impacts of AI
During the AI and Society Forum, leading MIT researchers examined critical questions about AI’s influence on employment and democracy.
MIT News·
MIT researchers’ approach captures subtle atomic patterns, improving predictions of material properties.
Read full articleDuring the AI and Society Forum, leading MIT researchers examined critical questions about AI’s influence on employment and democracy.
Insider Brief MIT researchers have developed a memory system that allows robots to remember detailed information about large environments and retrieve it using natural-language questions. The study, led by Nicolas Gorlo, a graduate student at MIT, along with Luca Carlone, associate professor in MIT’s Department of Aeronautics and Astronautics and director of the MIT SPARK […]
Leaders, faculty across MIT discuss fostering innovation and talent in Greater Boston in special series of articles published alongside the outlet's annual list of 'Tech Power Players'
In its first year, INM has worked across research, workforce development, and industry engagement to help accelerate new manufacturing technologies and their real-world deployment.
Z.ai launched GLM-5.2 on June 13, 2026, across every GLM Coding Plan tier. The headline is a usable 1-million-token context window plus High and Max effort levels. It drops into Claude Code, Cline, and OpenClaw through an Anthropic-compatible endpoint. No benchmarks shipped at launch, and MIT open weights are promised next week. The post Z.ai Launches GLM-5.2 With a Usable 1M-Token Context, Two Thinking-Effort Levels, and No Benchmarks at Launch appeared first on MarkTechPost.
The illusion of AI efficiency may lead to over-reliance, skewing productivity perceptions and hindering accurate assessment of AI's true impact. The post MIT study reveals AI use can create efficiency-gain illusion appeared first on Crypto Briefing.
MIT researchers provide a major upgrade to the nearly century-old idea of random utility models.
The fellowships in applied sciences, engineering, and mathematics recognize doctoral students who are pursuing solutions to the most pressing challenges in science and technology.