Perceptual video coding is an advanced compression strategy that exploits the characteristics of the human visual system to reduce data rates while preserving perceived video quality. By incorporating ...
(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 have unveiled a compact 28×28 synaptic device array that mimics the human visual system, integrating sensing, ...
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 ...
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 ...
Researchers have demonstrated the use of AI-selected natural images and AI-generated synthetic images as neuroscientific tools for probing the visual processing areas of the brain. The goal is to ...
As artificial intelligence and smart devices continue to evolve, machine vision is taking an increasingly pivotal role as a key enabler of modern technologies. Unfortunately, despite much progress, ...
Smithsonian Magazine on MSN
Computers Are Getting Much Better at Image Recognition
The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...
Ch. 1 Parallel visual pathways in a dynamic system / Vivien A. Casagrande and David W. Royal -- Ch. 2 Comparative study of the primate retina / Luiz Carlos de Lima Silveira -- Ch. 3 The pulvinar ...
Interacting with computers by brain activity seems less futuristic these days, thanks to researchers and entrepreneurs who have been attempting to tap the potential of brain-computer interfaces for ...
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