Tommi Jaakkola

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 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.

Constantinos Daskalakis and Vivienne Sze were among more than 40 EECS faculty members honored for excellence over the past academic year.

A new EECS course on applications of machine learning teaches students from a variety of disciplines about one of today’s hottest topics.