MIT launches new data privacy-focused initiative
Future of Data, Trust, and Privacy initiative aims to address AI-driven analytics and changing attitudes about personal data.
Future of Data, Trust, and Privacy initiative aims to address AI-driven analytics and changing attitudes about personal data.
Researchers propose a method for finding and fixing weaknesses in automated programming tools.
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 research team finds machine learning techniques offer big advantages over standard experimental and theoretical approaches.
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.
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.
A brief history of one member of MIT’s famed Radiation Laboratory.
New technique speeds up calculations of drug molecules’ binding affinity to proteins.
Leveraging years of MIT cognitive science research, Nara Logics incorporates findings about the brain into its AI platform.
The 21-digit solution to the decades-old problem suggests many more solutions exist.
Method builds on gaming techniques to help autonomous vehicles navigate in the real world, where signals may be imperfect.
An innovative approach protects closed-source Windows applications against cyber attacks by automatically and transparently re-randomizing sensitive internal data.
The Institute ranks second in four subject areas.