Neural networks have a reputation for being computationally expensive. But only the training portion of things really stresses most computer hardware, since it involves regular evaluations of ...
Neural networks can be used to classify data and make predictions. For example, you might want to predict the political party affiliation (Democrat, Republican, Independent) of a person based on ...
A group of scientists has created a neural network based on polymeric memristors -- devices that can potentially be used to build fundamentally new computers. These developments will primarily help in ...
WASHINGTON -- Researchers have shown that it is possible to train artificial neural networks directly on an optical chip. The significant breakthrough demonstrates that an optical circuit can perform ...
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 ...
Memristors have relatively simple behavior: they're a type of circuitry where the present resistance to current is a product of the currents that have flowed through them in the past. The more current ...
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