NANQ: Noise-floor-aware mixed-precision non-uniform quantization for analog compute-in-memory
Read the original at arxiv.org→arXiv:2608.02700v1 Announce Type: new Abstract: Analog compute-in-memory (CIM) enables energy-efficient neural network inference, but device variation and read noise can severely degrade low-bit quantized models....
Original headline: "NANQ: Noise-Floor-Aware Mixed-Precision Non-Uniform Quantization for Analog Compute-in-Memory"
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- Aug 5, 04:00 UTC arXiv cs.LG lead source NANQ: Noise-Floor-Aware Mixed-Precision Non-Uniform Quantization for Analog Compute-in-Memory