A single AI model simulates the behavior of many substances, from sliding sand to folding proteins
By learning how matter moves, the WorldParticle system could assist with developing soft robots, medicines, and more.
By learning how matter moves, the WorldParticle system could assist with developing soft robots, medicines, and more.
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
Read More“InstructMesh” can generate designs for everyday objects that are easy to edit and fabricate for both experts and newcomers to 3D modeling.
Read More“GeoPT” helps AI models understand the basics of physics so they can simulate how objects respond to things like wind and water more efficiently and accurately.
Read MoreResearchers developed an automated framework that helps AI models generate CAD programs more accurately and efficiently.
Read MoreMIT students designed, built, and tested a jet engine with AI copilots, assessing AI’s usefulness in developing high-performance aerospace systems.
Read MoreJointly led by the MIT Morningside Academy for Design, MIT Schwarzman College of Computing, and the Hasso Plattner Institute in Potsdam, the hub will foster a dynamic community where computing, creativity, and human-centered innovation meet.
Read MoreMIT computer science students design AI chatbots to help young users become more social, and socially confident.
Read MoreThe approach could help engineers tackle extremely complex design problems, from power grid optimization to vehicle design.
Read MoreTo 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.
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