Topic
Computer vision
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Why did my classifier just mistake a turtle for a rifle?
Two longtime friends explore how computer vision systems go awry.
July 31, 2019 -
Teaching artificial intelligence to create visuals with more common sense
An MIT/IBM system could help artists and designers make quick tweaks to visuals while also helping researchers identify “fake” images.
July 1, 2019 -
Teaching artificial intelligence to connect senses like vision and touch
MIT CSAIL system can learn to see by touching and feel by seeing, suggesting future where robots can more easily grasp and recognize objects.
June 17, 2019 -
A 3-D printer powered by machine vision and artificial intelligence
MIT startup Inkbit is overcoming traditional constraints to 3-D printing by giving its machines “eyes and brains.”
June 4, 2019 -
For better deep neural network vision, just add feedback (loops)
The DiCarlo lab finds that a recurrent architecture helps both artificial intelligence and our brains to better identify objects.
April 29, 2019 -
Deep-learning technique reveals “invisible” objects in the dark
Method could illuminate features of biological tissues in low-exposure images.
December 12, 2018 -
Fleets of drones could aid searches for lost hikers
System allows drones to cooperatively explore terrain under thick forest canopies where GPS signals are unreliable.
November 1, 2018 -
Machines that learn language more like kids do
Computer model could improve human-machine interaction, provide insight into how children learn language.
October 31, 2018 -
Recognizing the partially seen
Advances in computer vision inspired by human physiological and anatomical constraints are improving pattern completion in machines.
September 20, 2018 -
Creating 3-D-printed “motion sculptures” from 2-D videos
CSAIL system could help athletes, dancers, and others better analyze how they move.
September 18, 2018 -
Machine-learning system tackles speech and object recognition, all at once
Model learns to pick out objects within an image, using spoken descriptions.
September 18, 2018 -
Helping computers fill in the gaps between video frames
Machine learning system efficiently recognizes activities by observing how objects change in only a few key frames.
September 13, 2018 -
Robots can now pick up any object after inspecting it
Breakthrough CSAIL system suggests robots could one day be able to see well enough to be useful in people’s homes and offices.
September 10, 2018 -
Sebastien Mannai, Antoni Rosinol Vidal win FutureMakers first prize
AeroAstro grad students win multi-university challenge by demonstrating the utility of machine vision in a complex system.
September 4, 2018 -
An AI system for editing music in videos
Given a video of a musical performance, CSAIL’s deep-learning system can make individual instruments louder or softer.
July 5, 2018 -
Teaching chores to an artificial agent
Activity simulator could eventually teach robots tasks like making coffee or setting the table.
May 30, 2018 -
Researchers develop virtual-reality testing ground for drones
With new system, drones navigate through an empty room, avoiding crashes while “seeing” a virtual world.
May 17, 2018 -
Self-driving cars for country roads
Today’s autonomous vehicles require hand-labeled 3-D maps, but CSAIL’s MapLite system enables navigation with just GPS and sensors.
May 7, 2018 -
A new way to automatically build road maps from aerial images
“RoadTracer” system from the Computer Science and Artificial Intelligence Laboratory could reduce workload for developers of apps like Google Maps.
April 17, 2018 -
Depth-sensing imaging system can peer through fog
Computational photography could solve a problem that bedevils self-driving cars.
March 20, 2018