Nonvolatile compute-in-memory (nvCIM) macros integrate memory and computation to enable high-density multiply-and-accumulate (MAC) acceleration for inference tasks on low-power edge artificial intelligence (AI) devices. Bayesian neural networks (BNNs)—which represent weights… The post A μ-NMC-Δ-IMC Heterogeneous STT-MRAM Compute-in-Memory Macro Using Δ-Clamping Bit Reduction for Noise-Tolerant Bayesian Neural Networks appeared first on IEEE Solid-State Circuits Society.
