Making computers explain themselves
New training technique would reveal the basis for machine-learning systems’ decisions.
New training technique would reveal the basis for machine-learning systems’ decisions.
MIT team awarded U.S. Department of Energy grant to investigate cost reductions in solar energy systems.
Three proposals in MIT Solve's “Learn” pillar advance to finals.
New model-fitting technique is efficient even for data sets with hundreds of variables.
When a plan to improve stoves in Peru met unexpected challenges, MIT senior Sade Nabahe rose to meet them.
Fifteen student teams nationwide set sights on inventing solutions to real-world problems.
Expert in optimization theory to join the Department of Electrical Engineering and Computer Science leadership.
CSAIL team's “Gitless” fixes Git’s biggest issues — and suggests their approach could help improve systems like Gmail and Dropbox.
Counterintuitive “metamaterial” may enable heat-resistant circuit boards.
James Kirtley discusses the transition from gas to electric motors and the impact these motors have had on modern technologies.
Activating certain brain neurons may spur recovery from general anesthesia.
New treatment elicits two-pronged immune response that destroys tumors in mice.
MIT professors take on problem formulation in thermal science: It can be taught, and their new book describes how.
With new algorithms, data scientists could accomplish in days what has traditionally taken months.