One-stop machine learning platform turns health care data into insights
Cardea software system aims to bring the power of prediction to hospitals by streamlining complex machine learning processes.
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.
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.
MIT biology professor and pioneering researcher of cancer cell metabolism will succeed longtime director Tyler Jacks.
MIT research combines machine learning with nanoparticle design for personalized drug delivery.
Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care.
Analysis quantifies a dramatic price drop that parallels similar improvements in solar and wind energy, and shows further steep declines could be possible.
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.
Five courses celebrate the nanoscale, highlight technologies in photogrammetry and 360-degree videography.