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Tech Xplore on MSN
Overparameterized neural networks: Feature learning precedes overfitting, research finds
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
Artificial neural networks are a form of machine-learning algorithm with a structure roughly based on that of the human brain. Like other kinds of machine-learning ...
Tech Xplore on MSN
Taming chaos in neural networks: A biologically plausible way
A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...
Dr. Tam Nguyen receives funding from National Science Foundation. He works for University of Dayton. There are many applications of neural networks. One common example is your smartphone camera’s ...
Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge ...
Many people have built brain-like neural networks that can learn on their own, but they're typically using plain old silicon to do it. Wouldn't it be better if the chips themselves were brain-like? A ...
Despite the image they may conjure up, neural networks are not networks of computers that are coming together to simulate the human brain and slowly take over the world. There's no T-1000, at least ...
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