Memristor-based adaptive analog-to-digital conversion for efficient and accurate compute-in-memory

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Zhengwu Liu, Haiqiao Hong, Zhiyuan Du, Mingrui Jiang, Ruibin Mao, Yuan Ren, Wei Mao, Muyuan Peng, Wei Zhang, Can Li, Ngai Wong

Published: 25 Mar 2025, Last Modified: 12 Nov 2025CrossrefEveryoneRevisionsCC BY-SA 4.0
Abstract: Compute-in-memory (CIM) technology offers promising solutions for neural network acceleration with high energy efficiency. However, the potential of existing CIM systems is severely limited by inflexible and resource-intensive analog-to-digital converters (ADCs). Here, we present a memristor-b...