A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.
In 2.C01, George Barbastathis demonstrates how mechanical engineers can use their knowledge of physical systems to keep algorithms in check and develop more accurate predictions.
The 13 projects led by researchers within the MIT Schwarzman College of Computing target one or more of the following themes: trustworthy AI, enhancing human cognition in complex...
The Institute's largest academic department reorganizes with new leadership as part of the formation of the MIT Schwarzman College of Computing. Clockwise from top left: Asu Ozdaglar, Joel Voldman, Arvind, and Antonio Torralba.