“Doing machine learning the right way”
Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable, and robust.
Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable, and robust.
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes over the last quarter.
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.
Genetic, geographic, and demographic data from more than 30,000 Americans reveal more genetic diversity within ancestry groups than previously thought.
Computer model of face processing could reveal how the brain produces richly detailed visual representations so quickly.
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.
Technique could help improve design of soft materials to withstand jostling during transport or settling due to gravity.
Lemelson-MIT Program invention education officer honored for the advancement and advocacy of young women in engineering.
Through on-site projects in developing countries and internships in the business world, Kendyll Hicks explores the political and economic drivers of global health.
Researchers discover that no magic is required to explain why deep networks generalize despite going against statistical intuition.
Highly regarded physicist was well-known for studying plasma turbulence in terms of coherent structures.
Speakers at MIT climate symposium outline the steps needed to achieve global carbon neutrality by midcentury.