Drones can fly at high speeds to a destination while keeping safe “backup” plans if things go awry.
Two longtime friends explore how computer vision systems go awry.
An MIT/IBM system could help artists and designers make quick tweaks to visuals while also helping researchers identify “fake” images.
MIT CSAIL system can learn to see by touching and feel by seeing, suggesting future where robots can more easily grasp and recognize objects.
MIT startup Inkbit is overcoming traditional constraints to 3-D printing by giving its machines “eyes and brains.”
The DiCarlo lab finds that a recurrent architecture helps both artificial intelligence and our brains to better identify objects.
Method could illuminate features of biological tissues in low-exposure images.
System allows drones to cooperatively explore terrain under thick forest canopies where GPS signals are unreliable.
CSAIL system could help athletes, dancers, and others better analyze how they move.