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Author

Cheng Wang

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Aug 2026

ADC-Free Compute-in-Memory for Error-Resilient and Energy-Efficient AI Accelerators

Analog compute-in-memory (CIM) has recently emerged as a novel paradigm for artificial intelligence compute, but the efficiency of CIM is heavily bottlenecked by the energy and area overhead of analog-to-digital (ADC). While replacing high-precision ADCs with 1-bit conversion significantly reduces peripheral overhead,...

Wei-Wei Zhao, Sohan Salahuddin Mugdho, Cheng Wang et al. · 0 citations
Aug 2026

ADC-Free Current-Domain Compute-In-Memory Processors for Intelligent Image Sensing

Current-domain compute-in-memory (CIM) architectures offer a promising pathway to reduce data movement and eliminate costly data conversion overheads in edge AI systems. However, conventional resistive crossbar implementations rely heavily on peripheral circuits such as analog-to-digital converters (ADCs), which domina...

K. K. Gupte, De-Gang Chen, Cheng Wang · 0 citations

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