A better way to model the behavior of metal alloys
MIT researchers’ approach captures subtle atomic patterns, improving predictions of material properties.
Showing 1–5 of 5
MIT researchers’ approach captures subtle atomic patterns, improving predictions of material properties.
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.