The human brain can learn through experience to filter out disturbing and distracting stimuli—such as a glaring roadside billboard or a flashing banner on the internet. Scientists at Leipzig ...

When you see a bag of carrots at the grocery store, does your mind go to potatoes and parsnips or buffalo wings and celery? It depends, of course, on whether you're making a hearty winter stew or ...

In a development for artificial intelligence, researchers have unveiled a 28×28 synaptic device array that promises to revolutionize artificial visual systems. This innovative array, measuring a ...

This is a potentially important study comparing infants (8 months) and adults with respect to rhythmic EEG response properties during periodic and aperiodic visual stimulation. The results provide ...

(Nanowerk Spotlight) Replicating human visual perception in machines has been an ongoing challenge for engineers and researchers. While computers today can recognize images or analyze video footage, ...

Scientists in Japan have developed a groundbreaking AI synapse that recognizes colors nearly as well as the human eye, promising great advances in energy-efficient visual recognition for smartphones, ...

Despite advances in machine vision, processing visual data requires substantial computing resources and energy, limiting deployment in edge devices. Now, researchers from Japan have developed a ...

A human brain consumes less power than a light bulb, while artificial intelligence systems guzzle electricity to do the same tasks. Now, scientists have created a highly efficient AI model that hints ...

The photoreceptors (cones and rods) and ganglion cells are non-uniformly distributed in the retina in the human eye as shown in the left figure below. The density of cone receptors and ganglion cells ...