Showing robots how to do your chores
By observing humans, robots learn to perform complex tasks, such as setting a table.
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By observing humans, robots learn to perform complex tasks, such as setting a table.
Computer model of face processing could reveal how the brain produces richly detailed visual representations so quickly.
In place of flat “breadboards,” 3D-printed CurveBoards enable easier testing of circuit design on electronics products.
Weather’s a problem for autonomous cars. MIT’s new system shows promise by using “ground-penetrating radar” instead of cameras or lasers.
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.
A deep-learning model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria.
Mobile voting application could allow hackers to alter individual votes and may pose privacy issues for users.
Flexible sensors and an artificial intelligence model tell deformable robots how their bodies are positioned in a 3D environment.
Text-generating tool pinpoints and replaces specific information in sentences while retaining humanlike grammar and style.
By organizing performance data and predicting problems, Tagup helps energy companies keep their equipment running.
Chalk of the Day, an MIT student group, draws beautiful daily works of art on the chalk wall in Building 32.
MIT’s new system TextFooler can trick the types of natural-language-processing systems that Google uses to help power its search results, including audio for Google Home.
With the initial organizational structure in place, the MIT Schwarzman College of Computing moves forward with implementation.