AI and machine learning for engineering design
Popular mechanical engineering course applies machine learning and AI theory to real-world engineering design.
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Popular mechanical engineering course applies machine learning and AI theory to real-world engineering design.
Professor Caroline Uhler discusses her work at the Schmidt Center, thorny problems in math, and the ongoing quest to understand some of the most complex interactions in biology.
Four new professors join the Department of Architecture and MIT Media Lab.
The faculty members’ work comprises multifaceted research and scholarship across a wide range of disciplines.
In MIT's course 17.831 (Data and Politics), students are introduced to the power of analysis, visualization, and research-supported insight into political outcomes.
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.