New research from Monash University bee researcher Adrian Dyer could lead to improved artificial intelligence systems and computer programs for facial recognition.
The human retina -- the part of the eye that converts incoming light into electrochemical signals -- has about 100 million light-sensitive cells. So retinal images contain a huge amount of data. High-level visual-processing ...
(Phys.org) —Soon, when you see a bird you can't identify, Merlin, a new online bird ID tool from Cornell, will be able to help.
(PhysOrg.com) -- Understanding how the brain recognizes objects is a central challenge for understanding human vision, and for designing artificial vision systems. (No computer system comes close to human vision.) A new study ...
Desert ants are well-known for their remarkable orientation: they use a compass along with a step counter and visible landmarks to locate their nest. After researchers from the Max Planck Institute for Chemical Ecology discovered ...
Siri and Watson may seem brainy in certain situations, but to build truly smart, world-changing machines, researchers must understand how human intelligence emerges from brain activity.
A team is developing a rover-based computer system that can identify geologically relevant elements in a camera scene.
Google Labs on Tuesday brought more focus to finding pictures online, adding a "Swirl" tool that automatically groups similar images into categories presented on results pages.
Understanding what a friend is saying in the hubbub of a noisy party can present a challenge - unless you can see the friend's face.
Portions of the brain that activate when people view pictures of objects compared to scrambled images can also be activated by touch alone, confirms a new report published online on May 28th in Current Biology.