Topic
Computer vision
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Creating videos of the future
Given a still image, CSAIL deep-learning system generates videos that predict what will happen next in a scene.
November 29, 2016 -
Ramesh Raskar awarded $500,000 Lemelson-MIT Prize
Imaging scientist and inventor sets sights on launching peer-to-peer invention platforms for global impact.
September 13, 2016 -
Reach in and touch objects in videos with “Interactive Dynamic Video”
Technique from Computer Science and Artificial Intelligence Lab could improve augmented reality and reduce the need for CGI green-screens.
August 2, 2016 -
Pinpointing vehicles with high precision under adverse weather conditions
MIT Lincoln Laboratory radar system achieves centimeter-level localization; could help driverless cars stay in lane when road markings are obscured.
June 23, 2016 -
Teaching machines to predict the future
Deep-learning vision system from the Computer Science and Artificial Intelligence Lab anticipates human interactions using videos of TV shows.
June 21, 2016 -
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.
June 13, 2016 -
Self-driving cars, meet rubber duckies
“Duckietown” class at Computer Science and Artificial Intelligence Lab teaches autonomy, aims to become global research platform.
April 20, 2016 -
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.
January 4, 2016 -
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.
December 16, 2015 -
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.
September 4, 2015 -
Self-driving golf carts
Autonomous vehicles share sidewalk space with pedestrians in six-day trial in Singaporean public garden.
September 1, 2015 -
Observing invisible vibrations
PhD student Justin Chen magnifies minuscule vibrations in structures to detect damage.
August 27, 2015 -
“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.
August 24, 2015 -
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.
August 10, 2015 -
Object recognition for robots
Robots’ maps of their environments can make existing object-recognition algorithms more accurate.
July 23, 2015 -
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.
June 8, 2015 -
Gauging materials’ physical properties from video
“Visual microphone” technology could lead to noninvasive identification of objects’ structural defects.
May 21, 2015 -
Object recognition for free
System designed to label visual scenes according to type turns out to detect particular objects, too.
May 8, 2015 -
Graphics in reverse
Probabilistic programming does in 50 lines of code what used to take thousands.
April 13, 2015 -
Vision system for household robots
New algorithm could enable household robots to better identify objects in cluttered environments.
January 12, 2015