(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, ...

Artificial intelligence (AI) and the internet of things (IoT) have led to the rapid expansion of sensory nodes, which can produce an enormous volume of raw analog data that is converted into digital ...

Deep convolutional neural networks (DCNNs) don't see objects the way humans do -- using configural shape perception -- and that could be dangerous in real-world AI applications. The study employed ...

Conventional silicon architecture has taken computer vision a long way, but Purdue University researchers are developing an alternative path — taking a cue from nature — that they say is the ...

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 ...

Ultra-high-field brain scans reveal integrated maps of vision and touch, highlighting the brain's role in embodied perception ...

Incoming information from the retina is channeled into two pathways in the brain's visual system: one that's responsible for processing color and fine spatial detail, and another that's involved in ...

A new study in Neuron reveals that the brain’s executive center sends highly specialized, context-dependent instructions to the visual system rather than a generic broadcast signal. The findings ...

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 ...