Accelerating data-driven discoveries
Life science companies use Paradigm4’s unique database management system to uncover new insights into human health.
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Life science companies use Paradigm4’s unique database management system to uncover new insights into human health.
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.
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.
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.