Researchers from MIT and elsewhere developed an AI-driven robotic assembly system that can turn text or voice prompts into real physical objects like chairs and shelves. https://t.co/HNHKEHPTso

📊 Smooth sailing for spatial data. Researchers at MIT LIDS have developed a new method that improves the reliability of statistical estimates when data vary across space. 🔗 Read more: https://t.co/rKGU44o7kW 1/3

Learning the wrong lessons. MIT LIDS researchers found that LLMs sometimes copy sentence patterns instead of reasoning — leading to nonsensical answers. A question with the structure of “Where is Paris located?” can trigger “France,” even for gibberish. https://t.co/0D852DcGPH

MIT scientists have unveiled BoltzGen, a generative-AI model that designs new protein binders — even for “undruggable” diseases. Unified design, physics-aware rules, and tough real-world testing make it a major leap for AI in drug discovery.

We are hiring for a joint tenure-track Assistant Professor with the @MIT_SCC! At the intersection of AI and Physics, the role will involve doing relevant research on any aspect of AI and Physics, broadly defined. Deadline December 1, 2025!

DMSE together with @MIT_SCC seeks candidates for a tenure-track Assistant Professor with an interest in combining theoretical and computational approaches to empower materials discovery across critical societal domains. Applications close Nov 30: https://t.co/IUspTEijOD

Bigger datasets aren’t always better. LIDS researchers Omar Bennouna, Amine Bennouna, and PIs @saurabhamin and Asu Ozdaglar have developed a new way to pinpoint exactly how much data is needed to solve complex problems. Learn more and read the paper:

Teaching robots to map large environments 🤖🗺️LIDS student Dominic Maggio, postdoc Hyungtae Lim, and PI @lucacarlone1 have developed a new #AI-driven mapping approach that could help search-and-rescue robots navigate unpredictable, cluttered environments. https://t.co/I3eFP01im6

MIT researchers have developed a way for large language models to learn like humans — creating their own “study sheets” to permanently absorb new information. A step toward AI that continuously learns and adapts. https://t.co/qsmQ4Cqp37

Phillip Isola, newly tenured associate professor in MIT's Department of Electrical Engineering and Computer Science, studies the ways in which intelligent machines “think,” in an effort to safely integrate AI into human society. https://t.co/uja3OrRJLs

⚡️A faster problem-solving tool that guarantees feasibility. The FSNet system, from MIT LIDS grad student Hoang Nguyen and PI Priya Donti (@priyald17) could help power grid operators rapidly find feasible solutions for optimizing the flow of electricity. https://t.co/ioxvWNP8Tv

MIT Schwarzman College of Computing welcomes 11 new faculty members in core computing & shared positions across MIT, bringing expertise in sustainable design, remote sensing, decision theory, and declarative AI programming, among other areas. https://t.co/8BxFN6Pa0n

It can be wasteful & expensive to keep up w/the latest fashion trends. Luckily, MIT & Adobe’s “Refashion” program helps users create outlines for clothing w/components you can replace or restyle. It’s a more sustainable approach to fashion design: https://t.co/mCDNIkIRJj

Nine MIT PhD students have been named Amazon AI Fellows to advance research in machine learning, computer vision and natural language processing. The fellowship will provide students with funding to conduct independent research at MIT and mentorship. https://t.co/yJtbIgWn0W

MIT Prof. & CSAIL principal investigator Dina Katabi has been elected to the National Academy of Medicine for building wireless devices that assist w/digital health using AI & radio signals, helping doctors detect diseases like Parkinson’s from digital biomarkers. Having

Improving the reliability of fusion power plants. LIDS PI Chuchu Fan, grad student Oswin So, and colleagues have developed a prediction model that uses physics and machine learning to help tokamak reactors avoid damaging disruptions when powering down. https://t.co/1og7KC4Y3B

DMSE together with @MIT_SCC seeks candidates for a tenure-track Assistant Professor with experience in combining fundamental scientific principles with algorithmic innovations to empower understanding and synthesis of materials. Applications close Nov 30:

🌱🤖 Fighting for the health of the planet with #AI. LIDS PI Priya Donti is applying machine learning to optimize renewable energy. 💡🔌 Read a profile about Donti’s work and research at MIT News: https://t.co/iglRHEusLx

Laurent Demanet, MIT professor of applied mathematics, has been appointed co-director of the MIT Center for Computational Science and Engineering. @MITMath @eapsMIT @ScienceMIT https://t.co/1vcB0g5B64

🌍🤝 We’re delighted to announce the launch of the MIT-MBZUAI Collaborative Research Program. #MBZUAI and MIT Schwarzman College of Computing are joining forces to launch a global collaboration to shape the future of AI. As part of this groundbreaking initiative, faculty and