Going to the Future
A memristor, short for memory resistor, was a circuit component capable of representing the relationship between magnetic flux and electric charge.
Unlike an ordinary resistor, its resistance was determined by the charge that flowed through it. In other words, its resistance would be changed by the last current that passed through it. By measuring the resistance of a memristor, one could determine the amount of charge that had flowed through it, thereby giving it the function of remembering charge.
Because this property was extremely similar to the plasticity effect of neuronal synapses, it was one of the most effective ways to simulate artificial neural networks.
And this magical silicon carbide material discovered by Denzel Evans could be regarded as a magical memristor. It was not a magical semiconductor, so it could not be used to make ordinary classical computer chips, but it was extremely suitable as a magical neural network chip.
And neural network chips, because they were naturally suited to machine learning and artificial intelligence algorithms, were in fact more suitable for the Internet of Things than ordinary classical chips. They were better at giving "things" "intelligence."
This thing was practically tailor-made for Murphy's "magical Internet of Things" plan.
At this point in time, the memristor was still a theoretical concept. There were still twelve years before 2008, when the first memristor component in the original world would be manufactured by HP.
Right now, not even electronic memristors had appeared in the world, and Denzel Evans did not possess Murphy's future perspective. He had no idea of the future potential of artificial intelligence and neural networks, so he had not thought in that direction at all.
Murphy did not explain too much to him either. Instead, he immediately set up a project team, gathering all