While the original Cloudpulse offered very little to distinguish itself visually from the average On running shoe, the ...

Abstract: Compute-in-memory (CIM) is a promising approach for realizing energy-efficient deep neural network (DNN) accelerators. Previous CIM works focusing on uniform quantization (UQ) demonstrated a ...

These carbon-plated wonders have broken every record in the books—but they might not be the best for you. Here's why.

Abstract: Post-Training Quantization (PTQ) has been effectively compressing neural networks into very few bits using a limited calibration dataset. Various ...