Device Modeling Bias in ReRAM-based Neural Network Simulations
Emerging technologies based on resistive switching (ReRAM) devices promise to improve
the speed and energy efficiency of next generation machine learning accelerators, but …
the speed and energy efficiency of next generation machine learning accelerators, but …
Layer Ensemble Averaging for Improving Memristor-Based Artificial Neural Network Performance
Artificial neural networks have advanced due to scaling dimensions, but conventional
computing faces inefficiency due to the von Neumann bottleneck. In-memory computation …
computing faces inefficiency due to the von Neumann bottleneck. In-memory computation …
Neural Network Modeling Bias for Hafnia-based FeFETs
Modeling bias–the difference between the test accuracy obtained by a reference network
prototype and a simulated model of that prototype–is explored in the context of hafnia-based …
prototype and a simulated model of that prototype–is explored in the context of hafnia-based …