Topic
Computer vision
-
New leadership for MIT-IBM Watson AI Lab
Computer vision and machine learning expert Antonio Torralba to lead new artificial intelligence research lab.
September 20, 2017 -
Artificial intelligence suggests recipes based on food photos
Given a still image of a dish filled with food, CSAIL team's deep-learning algorithm recommends ingredients and recipes.
July 20, 2017 -
Lincoln Laboratory enters licensing agreement to produce its localizing ground-penetrating radar
Commercial prototypes of the system will be available to the self-driving vehicle industry.
July 18, 2017 -
AgeLab researching autonomous vehicle systems in ongoing collaboration with Toyota
Innovative MIT research focuses on developing systems to perceive and identify objects in their environment and understand social interactions in traffic.
June 8, 2017 -
Giving robots a sense of touch
GelSight technology lets robots gauge objects’ hardness and manipulate small tools.
June 5, 2017 -
Ingestible robots, glasses-free 3-D, and computers that explain themselves
A look at 16 of the coolest things that happened at the Computer Science and Artificial Intelligence Laboratory in 2016.
December 16, 2016 -
Computer learns to recognize sounds by watching video
Machine-learning system doesn’t require costly hand-annotated data.
December 2, 2016 -
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