Confronting the AI/energy conundrum
The MIT Energy Initiative’s annual research symposium explores artificial intelligence as both a problem and a solution for the clean energy transition.
The MIT Energy Initiative’s annual research symposium explores artificial intelligence as both a problem and a solution for the clean energy transition.
Presentations targeted high-impact intersections of AI and other areas, such as health care, business, and education.
The MIT Ethics of Computing Research Symposium showcases projects at the intersection of technology, ethics, and social responsibility.
A new book from Professor Munther Dahleh details the creation of a unique kind of transdisciplinary center, uniting many specialties through a common need for data science.
A team of MIT researchers founded Themis AI to quantify AI model uncertainty and address knowledge gaps.
Sendhil Mullainathan brings a lifetime of unique perspectives to research in behavioral economics and machine learning.
A new book coauthored by MIT’s Dimitris Bertsimas explores how analytics is driving decisions and outcomes in health care.
Professor of media technology honored for research in human-computer interaction that is considered both fundamental and influential.
Materials scientist is honored for his academic leadership and innovative research that bridge engineering and nature.
ReviveMed uses AI to gather large-scale data on metabolites — molecules like lipids, cholesterol, and sugar — to match patients with therapeutics.