Method and apparatus of exploiting sparse activation in neural networks to reduce power consumption

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The present invention refers to artificial neural network utilizing synchronous integrated circuit rare activity as power saving device and method, sensing activities according to above-described degree by an artificial neural network neuronal activities activity by blocking the clock of processing elements unnecessary in synchronous circuits capable of reducing the power consumption when the device decodes a number on a dynamic method.