In-memory computing integrated structure circuit based on nonvolatile flash memory unit
Artificial intelligence has made people's demands for computer computing efficiency
increasingly high. The traditional hardware circuit simulation method for neural morphology …
increasingly high. The traditional hardware circuit simulation method for neural morphology …
An astrocyte-flow mapping on a mesh-based communication infrastructure to defective neurons phagocytosis
In deploying the Internet of Things (IoT) and Internet of Medical Things (IoMT)-based
applications and infrastructures, the researchers faced many sensors and their output's …
applications and infrastructures, the researchers faced many sensors and their output's …
A Low-Cost Training Method of ReRAM Inference Accelerator Chips for Binarized Neural Networks to Recover Accuracy Degradation due to Statistical Variabilities
Z Chen, T Ohsawa - IEICE Transactions on Electronics, 2022 - search.ieice.org
A new software based in-situ training (SBIST) method to achieve high accuracies is
proposed for binarized neural networks inference accelerator chips in which measured …
proposed for binarized neural networks inference accelerator chips in which measured …
A Fully Analog Deep Neural Network Inference Accelerator with Pipeline Registers Based on Master-Slave Switched Capacitors
Y Mei, T Ohsawa - IEICE Transactions on Electronics, 2023 - search.ieice.org
A fully analog pipelined deep neural network (DNN) accelerator is proposed, which is
constructed by using pipeline registers based on master-slave switched capacitors. The idea …
constructed by using pipeline registers based on master-slave switched capacitors. The idea …
A training method for deep neural network inference accelerators with high tolerance for their hardware imperfection
We propose a novel training method named hardware-conscious software training (HCST)
for deep neural network inference accelerators to recover the accuracy degradation due to …
for deep neural network inference accelerators to recover the accuracy degradation due to …