Mixing generative AI with physics to create personal items that work in the real world
To help generative AI models create durable, real-world accessories and decor, the PhysiOpt system runs physics simulations and makes subtle tweaks to its 3D blueprints.
New method could increase LLM training efficiency
By leveraging idle computing time, researchers can double the speed of model training while preserving accuracy.
MIT faculty, alumni named 2026 Sloan Research Fellows
Annual award honors early-career researchers for creativity, innovation, and research accomplishments.
Results You Can Touch
One year into the new 6-5 degree program, students are discovering the joy of hands-on electrical engineering.
By enabling two chips to authenticate each other using a shared fingerprint, this technique can improve privacy and energy efficiency.
3D-printing platform rapidly produces complex electric machines
Overcoming challenges of 3D printing with multiple functional materials, MIT researchers fabricated an electric linear motor in hours.
Seven faculty members, along with 12 additional alumni, are honored for significant contributions to engineering research, practice, and education.
Personalization features can make LLMs more agreeable
The context of long-term conversations can cause an LLM to begin mirroring the user’s viewpoints, possibly reducing accuracy or creating a virtual echo-chamber.
New control system teaches soft robots the art of staying safe
MIT CSAIL and LIDS researchers developed a mathematically grounded system that lets soft robots deform, adapt, and interact with people and objects, without violating safety limits.
The philosophical puzzle of rational artificial intelligence
As AI technology advances, a new interdisciplinary course seeks to equip students with foundational critical thinking skills in computing.