Reducing the carbon footprint of artificial intelligence
MIT system cuts the energy required for training and running neural networks.
MIT system cuts the energy required for training and running neural networks.
Congestion control system could help streaming video, mobile games, and other applications run more smoothly.
CSAIL's SprayableTech system lets users create large-scale interactive surfaces with sensors and displays using airbrushed inks.
Nearly 300 students join an open course that applies data science, artificial intelligence, and mathematical modeling using the Julia language to study Covid-19.
Life science companies use Paradigm4’s unique database management system to uncover new insights into human health.
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.