MIT juniors Yu Jing Chen and Max Williamson named 2021 Truman Scholars
Fellowship provides funding for graduate school and recognizes future public service leaders.
Fellowship provides funding for graduate school and recognizes future public service leaders.
Researchers propose a method for finding and fixing weaknesses in automated programming tools.
Fellowship funds graduate studies for outstanding immigrants and children of immigrants.
EECS Communication Lab teams up with MIT Libraries to broadcast free “Science Snippets” to the world.
Cardea software system aims to bring the power of prediction to hospitals by streamlining complex machine learning processes.
Caroline Uhler blends machine learning, statistics, and biology to understand how our bodies respond to illness.
Encapsulating modified bacteria in tough hydrogel spheres prevents them from spreading genes to other microbes.
Using deep convolutional neural networks, researchers devise a system that quickly analyzes wide-field images of patients’ skin in order to more efficiently detect cancer.
Sidney Pacific residents empower each other to sustain community togetherness.
System uses penetrative radio frequency to pinpoint items, even when they’re hidden from view.
By measuring a person’s movements and poses, smart clothes developed at MIT CSAIL could be used for athletic training, rehabilitation, or health-monitoring for elder-care facilities.
Graduate engineering and economics programs are No. 1 in the nation; MIT Sloan is No. 5.
Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care.
Deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.