On May 6 and 7, researchers from the AI Policy Forum will present their preliminary AI public policy proposals aimed at shaping specific and significant uses of AI in our lives.
“Programmable matter” technique could enable product designers to churn out prototypes with ease.
Computer models that mimic humans’ extraordinary hearing abilities could improve treatments for hearing loss.
Her research focuses on more-efficient deep neural networks to process video, and more-efficient hardware to run applications.
Four MIT undergraduates whose research areas explore artificial intelligence, space, and climate change honored for their academic achievements.
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.