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Originally Posted by fb
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Gimzewski believes that the silver wire network or devices like it might be better than traditional computers at making predictions about complex processes. Traditional computers model the world with equations that often only approximate complex phenomena. Neuromorphic atomic switch networks align their own innate structural complexity with that of the phenomenon they are modeling. They are also inherently fast—the state of the network can fluctuate at upward of tens of thousands of changes per second. “We are using a complex system to understand complex phenomena,” Gimzewski said.
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Do you remember Isaac Asimov's Positronic Brain? This is that, in a vegetative state. What happens when it wakes up? |
Then the smelly apes can be bypassed altogether so the computers can do their thing unimpeded.