MIT Schwarzman College of Computing
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.
SuperUROP scholars apply deep learning to improve accuracy of climate models, profitably match computers in the cloud with customers, and more.
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.
MIT alumni and friends from around the globe attended an online event that featured presentations from Institute leaders, faculty, and alumni about human health-related research.
Black women are more vulnerable than white men, illustrating how race and gender intersect to shape health outcomes.
Researchers propose a method for finding and fixing weaknesses in automated programming tools.
New research offers insight for city planning and workforce development.
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.