The integration of biological principles into artificial visual systems is advancing machine vision, enabling superior performance in real-time applications.

A team of researchers from the Institute for Basic Science, Yonsei University, and the Max Planck Institute have developed a new artificial intelligence (AI) technique that brings machine vision ...

(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, ...

Today's AI vision is effective at recognizing simple images in isolation—such as buildings, cars, and people. But when it's ...

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 ...

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, ...

(Nanowerk Spotlight) Effectively mimicking the unmatched visual capacities of the human brain while operating within stringent energy constraints poses a formidable challenge for artificial ...

Researchers have shown that the computational imaging technique known as ghost imaging can be combined with human vision to image an object that can't directly be seen by the person. The new work ...

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 ...

The top half of this image depicts the proposed artificial synapse made using dye-sensitized solar cells. The plot shows the bipolar voltage response of the synapse depending on the wavelength of ...