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Neurobiological circuits containing synapses can process signals while learning concurrently in real time. Before an artificial neural network (ANN) can execute a signal‐processing program, it must first be programmed by humans or trained with respect to a large and defined data set during learning processes, resulting in significant latency, high power consumption, and poor adaptability to unpredictable...
The fastest supercomputer, Summit, has a speed comparable to the human brain, but is much less energy‐efficient (≈1010 FLOPS W−1, floating point operations per second per watt) than the brain (≈1015 FLOPS W−1). The brain processes and learns from “big data” concurrently via trillions of synapses in parallel analog mode. By contrast, computers execute algorithms on physically separated logic and memory...
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