Topic
Object recognition
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Joy Buolamwini wins national contest for her work fighting bias in machine learning
Media Lab graduate student selected from over 7,300 entrants, awarded $50,000 scholarship in contest inspired by the film "Hidden Figures."
January 17, 2017 -
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 -
How the brain recognizes objects
Neuroscientists find evidence that the brain’s inferotemporal cortex can identify objects.
October 5, 2015 -
Soft robotic hand can pick up and identify a wide array of objects
Team from Computer Science and Artificial Intelligence Lab develops silicone rubber gripper and advanced object-identification algorithms.
September 30, 2015 -
Object recognition for free
System designed to label visual scenes according to type turns out to detect particular objects, too.
May 8, 2015 -
Vision system for household robots
New algorithm could enable household robots to better identify objects in cluttered environments.
January 12, 2015 -
Vivienne Sze receives DARPA 2014 Young Faculty Award
Award honors work on real-time energy-efficient visual data processing for portable media, which will impact elderly-assistance and advanced driver-assistance systems.
December 23, 2014 -
In one aspect of vision, computers catch up to primate brain
Newest computer neural networks can identify visual objects as well as the primate brain.
December 18, 2014 -
Orienteering for robots
Algorithm for determining orientation of objects could aid robots in navigation, scene understanding.
April 4, 2014 -
Expanding our view of vision
New brain-scanning technique allows scientists to see when and where the brain processes visual information.
January 26, 2014 -
Never forget a face
New algorithm uses subtle changes to make a face more memorable without changing a person’s overall appearance.
December 18, 2013 -
Teaching computers to see — by learning to see like computers
By translating images into the language spoken by object-recognition systems, then translating them back, researchers hope to explain the systems’ failures.
September 19, 2013 -
Oliva explores new ground in computational perception at CSAIL
Neuroscientist looks forward to collaborative studies of visual perception in the brain and its computational applications.
November 8, 2011 -
Scene perception versus action in the brain
Cognitive neuroscientists shed light on how the brain responds to scenes and their mirror-image reversals.
August 18, 2011 -
Finding an edge
An algorithm for identifying the boundaries of objects in digital images is 50,000 times more efficient than its predecessor.
May 31, 2011 -
How the brain recognizes objects
A new computational model sheds light on the workings of the human visual system and could help advance artificial-intelligence research, too.
June 7, 2010 -
Seeing the forest for the trees
Object recognition systems that break images into ever smaller parts should be much more efficient and may shed light on how the brain works.
May 7, 2010 -
Context is ev … well, something, anyway
MIT research uses information about how frequently objects are seen together to refine the conclusions of object recognition systems.
March 5, 2010 -
Seeing things
Researchers from MIT's CSAIL teach computers to recognize objects.
October 13, 2009