New AI agent learns to use CAD to create 3D objects from sketches
The virtual VideoCAD tool could boost designers’ productivity and help train engineers learning computer-aided design.
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The science of consciousness
Through the MIT Consciousness Club, professors Matthias Michel and Earl Miller are exploring how neurological activity gives rise to human experience.
Introducing the MIT-GE Vernova Climate and Energy Alliance
Five-year collaboration between MIT and GE Vernova aims to accelerate the energy transition and scale new innovations.
Bigger datasets aren’t always better
MIT researchers developed a way to identify the smallest dataset that guarantees optimal solutions to complex problems.
Q&A: On the ethics of catastrophe
Jack Carson, an MIT second-year undergraduate and EECS major, is the recent winner of the Elie Wiesel Prize in Ethics.
Four from MIT named 2026 Rhodes Scholars
Vivian Chinoda ’25, Alice Hall, Sofia Lara, and Sophia Wang ’24 will begin postgraduate studies at Oxford University next fall.
Phil Sharp-Alnylam Fund for Emerging Scientists to support MIT biology graduate students and faculty
Alnylam Pharmaceuticals establishes named fund in honor of its co-founder, an MIT Institute Professor and Nobel laureate.
Teaching large language models how to absorb new knowledge
With a new method developed at MIT, an LLM behaves more like a student, writing notes that it studies to memorize new information.
Understanding the nuances of human-like intelligence
Associate Professor Phillip Isola studies the ways in which intelligent machines “think,” in an effort to safely integrate AI into human society.
MIT Energy Initiative launches Data Center Power Forum
MIT faculty and MITEI member company experts address power demand from data centers.
Giving buildings an “MRI” to make them more energy-efficient and resilient
Founded by a team from MIT, Lamarr.AI uses drones, thermal imaging, and AI to help property owners make targeted investments in their buildings.
Charting the future of AI, from safer answers to faster thinking
MIT PhD students who interned with the MIT-IBM Watson AI Lab Summer Program are pushing AI tools to be more flexible, efficient, and grounded in truth.
MIT researchers propose a new model for legible, modular software
The coding framework uses modular concepts and simple synchronization rules to make software clearer, safer, and easier for LLMs to generate.
Teaching robots to map large environments
A new approach developed at MIT could help a search-and-rescue robot navigate an unpredictable environment by rapidly generating an accurate map of its surroundings.
Startup provides a nontechnical gateway to coding on quantum computers
Co-founded by Kanav Setia and Jason Necaise ’20, qBraid lets users access the most popular quantum devices and software programs on an intuitive, cloud-based platform.