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Breaking the Memory Wall: A Structured Literature Review of Analog In-Memory Computing (AIMC) for Next-Generation AI and Deep Learning
Executive Summary: Analog In-Memory Computing (AIMC) This structured literature review establishes the crucial role of Analog In-Memory Computing (AIMC) as the leading architectural solution to overcome the fundamental von Neumann bottleneck that limits the performance and energy efficiency of modern Artificial Intelligence (AI) hardware. AIMC integrates computation directly within non-volatile memory (NVM) arrays, leveraging the…