MIT joins White House supercomputing effort to speed up search for Covid-19 solutions
Consortium includes industry, government, and academic institutions.
Consortium includes industry, government, and academic institutions.
Using a photorealistic simulation engine, vehicles learn to drive in the real world and recover from near-crash scenarios.
An MIT team discusses the pitfalls of “parachute research” and the importance of “sociotechnical” factors.
Catherine D’Ignazio’s new book, “Data Feminism,” examines problems of bias and power that beset modern information.
Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable, and robust.
By observing humans, robots learn to perform complex tasks, such as setting a table.
System “recruits” defects that usually cause disruptions, using them to instead carry out quantum operations.
Since 2009, Steinmeyer has taught more than 400 students in the MITES, MOSTEC, SEED Academy, and E2 programs.
In place of flat “breadboards,” 3D-printed CurveBoards enable easier testing of circuit design on electronics products.
Institute ranks second in five subject areas.
Computer and data science graduates learned to forge their own destinies while gaining employable skills.
System ensures hackers eavesdropping on large networks can’t find out who’s communicating and when they’re doing so.
MIT duo uses music, videos, and real-world examples to teach students the foundations of artificial intelligence.
PatternEx merges human and machine expertise to spot and respond to hacks.
In a Starr Forum talk, Luis Videgaray, director of MIT’s AI Policy for the World Project, outlines key facets of regulating new technologies.