(Phys.org)—Researchers have proposed a new type of artificial neuron called a “straintronic spin neuron” that could serve as the basic unit of artificial neural networks—systems modeled on human brains that have the ability to compute, learn, and adapt. Compared to previous designs, the new artificial neuron is potentially orders of magnitude more energy-efficient, more robust against thermal degradation, and fires at a faster rate.
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‘Straintronic spin neuron’ may greatly improve neural computing
