Conventional von Neumann architectures rely heavily on communication between memory and compute elements, making them power hungry. In recent years, therefore, neuromorphic computing based on low-power compute-inmemory devices has been gaining interest. One of the essential aspects of such systems is the hardware modeling of synapses that are expected to store weights that represent the […]
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