MIT Schwarzman College of Computing
Cardea software system aims to bring the power of prediction to hospitals by streamlining complex machine learning processes.
New publishing model provides unique and timely solutions to the production, curation, and preservation of knowledge.
Caroline Uhler blends machine learning, statistics, and biology to understand how our bodies respond to illness.
MIT biology professor and pioneering researcher of cancer cell metabolism will succeed longtime director Tyler Jacks.
Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care.
A new tool helps humans better understand and develop artificial intelligence models by searching and highlighting representative scenarios.
Deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.
A unique workshop lets students examine their personal histories as a way to even the playing field between mentors and mentees.
Wireless sensing technology could help improve patients’ technique with inhalers and insulin pens.