Uses past input to learn the strength needed on it's output. In other words, a chip that learns based on experience.
neural
neuron
chip
learning
tech
intelligent
network
Comments
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The more often it receives input, the more it outputs. So it's certainly reactive, but I'm not convinced that you can really describe it as 'learning'. If I drink water more often, I need to pee more often, but that doesn't mean that my bladder has learned anything.
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It adapts to past frequency, not the current frequency. And a chip is defined as a semiconductor embedding one or more circuits, which this is. Maybe stop spewing garbage about subjects you aren't familiar with :)
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I think 'learning' is stretching the point a little. It isn't really adapting to past conditions but to present ones (frequency of output correlates with frequency of input). It's also far too simple to be called a 'chip'. If anything, it's a resistor (as much as that can exist, with TPT's quirky electronics)