Artificial Intelligence Research: Artificial neural networks are more similar to the brain than we thought June 29, 2020 - 11:52 am Image by: Pxfuel ...

A recurrent neural network structure exists in the most important part of the brain -- the frontal cortex -- and this network is less complex than has been thought and mostly unidirectional, new ...

His hope was that by developing artificial neural networks that could learn to solve complex problems, light might be shed on how the brain’s neural networks do the same.

By mimicking the brain’s neurons and synapses, neuromorphic computing is enabling smarter, energy-efficient AI systems. A ...

Researchers built deep artificial neural networks that can accurately predict the neural responses produced by a biological brain to arbitrary visual stimuli. These networks can be thought of as a ...

Over the course of their lives, humans can sometimes acquire fear responses to specific stimuli, animals, objects or ...

Designed to mimic the brain itself, artificial neural networks use mathematical equations to identify and predict patterns in datasets and images.

Google's Geoff Hinton was a pioneer in researching the neural networks that now underlie much of artificial intelligence. He persevered when few others agreed.

Some regions of the brain in people with Alzheimer's reorganize more often while at rest than in people without the ...

If you can get past the coining of yet another new word to talk about neural network designs, think about this: modeling the actual synapse can be a way to improve dig ...