New fibers can make breath-regulating garments
“Robotic” textiles could help performers and athletes train their breathing, and potentially help patients recovering from postsurgery breathing changes.
“Robotic” textiles could help performers and athletes train their breathing, and potentially help patients recovering from postsurgery breathing changes.
Dedicated circuits evaluate uncertainty in the brain, preventing it from using unreliable information to make decisions.
A certain type of artificial intelligence agent can learn the cause-and-effect basis of a navigation task during training.
Researchers glean a more complete picture of a structure called the nuclear pore complex by studying it directly inside cells.
A deep model was trained on historical crash data, road maps, satellite imagery, and GPS to enable high-resolution crash maps that could lead to safer roads.
The Max Planck Society and Alexander von Humboldt Foundation honor the MIT physicist's work on two-dimensional quantum materials.
Professor Lily Tsai’s new book explains how “retributive justice,” the high-profile sanctioning of some in society, helps authoritarians solidify public support.
Researchers find blind and sighted readers have sharply different takes on what content is most useful to include in a chart caption.
With a new National Science Foundation grant, Justin Reich and collaborators will apply information literacy research to communities outside the formal education system.
New research on ancient Roman concrete inspires durable and sustainable modern constructions.
Long-term study of Melbourne, Australia, shows how urban development and change affects pedestrians, not just automobiles.
The findings include signs of flash flooding that carried huge boulders downstream into the lakebed.
“U.S. competitiveness depends less on defensive measures than on what we do to strengthen our own capacities,” says MIT’s vice president for research.
A cyber systems expert at Lincoln Laboratory, Okhravi will help investigate bold solutions to fundamental cyber vulnerabilities.
Researchers hope more user-friendly machine-learning systems will enable nonexperts to analyze big data — but can such systems ever be completely autonomous?