Artificial intelligence produces realistic sounds that fool humans
Video-trained system from MIT’s Computer Science and Artificial Intelligence Lab could help robots understand how objects interact with the world.
Self-driving cars, meet rubber duckies
“Duckietown” class at Computer Science and Artificial Intelligence Lab teaches autonomy, aims to become global research platform.
Computer model matches humans at predicting how objects move
“3-D physics engine” from the Computer Science and Artificial Intelligence Laboratory simulates the human brain to infer physical properties.
Deep-learning algorithm predicts photos’ memorability at “near-human” levels
Future versions of an algorithm from the Computer Science and Artificial Intelligence Lab could help with teaching, marketing, and memory improvement.
CSAIL joins with Toyota on $25 million research center for autonomous cars
Seeking to reduce traffic casualties, center will focus on robotics and artificial intelligence systems.
Self-driving golf carts
Autonomous vehicles share sidewalk space with pedestrians in six-day trial in Singaporean public garden.
Observing invisible vibrations
PhD student Justin Chen magnifies minuscule vibrations in structures to detect damage.
“MultiFab” 3-D prints a record 10 materials at once, no assembly required
Printer from Computer Science and Artificial Intelligence Lab uses machine vision and 3-D scanning to self-correct and directly embed components.
Robots collaborate to deliver meds, supplies, and even drinks
Bots from the MIT Computer Science and Artificial Intelligence Lab work together more effectively in the face of uncertainty.
Object recognition for robots
Robots’ maps of their environments can make existing object-recognition algorithms more accurate.
MIT team places sixth at international DARPA Robotics Challenge
CSAIL team just misses winning the grand prize after programming a 400-lb humanoid robot to lift beams, climb stairs, and drive a car.
Gauging materials’ physical properties from video
“Visual microphone” technology could lead to noninvasive identification of objects’ structural defects.
Object recognition for free
System designed to label visual scenes according to type turns out to detect particular objects, too.
Vision system for household robots
New algorithm could enable household robots to better identify objects in cluttered environments.