With a feel for physics, AI models simulate a wider range of real-world scenarios
“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.
“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.
By focusing on electrolytes, MIT scientists are making sodium-metal batteries a more practical energy storage option.
Read MoreAn expert in machine learning, statistics, and computation, Rakhlin succeeds Professor Ankur Moitra.
Read MoreDirector of CSAIL and MIT professor honored for her contributions to robotics, artificial intelligence, and autonomous systems.
Read MoreMIT students and postdocs discussed science funding and research with policymakers in Washington during the MIT Science Policy Initiative’s annual Congressional Visit Days.
Read MoreThe visionary PhysioNet platform launched 25 years ago, based on a system developed at MIT in the 1970s. It has become one of the most comprehensive biomedical and clinical data repositories in existence.
Read MoreInitial research projects advance national priorities across natural resources, manufacturing, nuclear physics, and more.
Read MoreKnown for his clear and elegant writing style, Bertsekas shaped fields from control and optimization to large-scale computation and artificial intelligence.
Read MoreAssistant Professor Bailey Flanigan has arrived at complex computational methods for helping democracy thrive.
Read MoreResearchers developed an automated framework that helps AI models generate CAD programs more accurately and efficiently.
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