A new model of vision

Computer model of face processing could reveal how the brain produces richly detailed visual representations so quickly.

Anne Trafton | MIT News Office • mit
March 4, 2020 ~10 min

Tags: machine-learning neuroscience artificial-intelligence research school-of-engineering school-of-science brain-and-cognitive-sciences computer-science-and-artificial-intelligence-laboratory-csail center-for-brains-minds-and-machines national-science-foundation-nsf computer-vision

Bridging the gap between human and machine vision

Researchers develop a more robust machine-vision architecture by studying how human vision responds to changing viewpoints of objects.

Kris Brewer | Center for Brains, Minds and Machines • mit
Feb. 11, 2020 ~5 min

Tags: machine-learning artificial-intelligence research school-of-science computer-science-and-technology brain-and-cognitive-sciences center-for-brains-minds-and-machines computer-vision

Predicting people's driving personalities

System from MIT CSAIL sizes up drivers as selfish or selfless. Could this help self-driving cars navigate in traffic?

Adam Conner-Simons | Rachel Gordon | MIT CSAIL • mit
Nov. 18, 2019 ~7 min

Tags: robotics machine-learning artificial-intelligence robots research autonomous-vehicles transportation automobiles behavior school-of-engineering computer-science-and-artificial-intelligence-laboratory-csail computer-vision electrical-engineering-and-computer-science-eecs

System prevents speedy drones from crashing in unfamiliar areas

Drones can fly at high speeds to a destination while keeping safe “backup” plans if things go awry.

Rob Matheson | MIT News Office • mit
Oct. 25, 2019 ~7 min

Tags: robotics robots research autonomous-vehicles drones school-of-engineering computer-science-and-technology technology-and-society algorithms aeronautical-and-astronautical-engineering computer-vision

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.

Sabbi Lall | McGovern Institute for Brain Research • mit
April 29, 2019 ~6 min

Tags: artificial-intelligence research autonomous-vehicles school-of-science brain-and-cognitive-sciences center-for-brains-minds-and-machines national-science-foundation-nsf mcgovern-institute computer-vision

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