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RACE-AIMC: Selective Inference for Heterogeneous Analog In-Memory Accelerators at the Edge
Analog in-memory computing (AIMC) speeds up neural-network inference by doing the arithmetic directly inside a memory array, instead of shuttling weights back and forth between memory and a processor. This saves energy, but the physical devices that store the weights are imperfect: programming error
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