LNPU: An Energy-Efficient Deep-Neural-Network Training Processor with Fine-Grained Mixed Precision

Mobile Deep Learning Processors on the Edge

Understanding Body Channel Communication A review : from history to the future applications

93.8% Current Efficiency and 0.672 ns Transient Response Reconfigurable LDO for Wireless Sensor Network Systems

A 15.2 TOPS/W CNN Accelerator with Similar Feature Skipping for Face Recognition in Mobile Devices

DT-CNN: Dilated and Transposed Convolution Neural Network Accelerator for Real-time Image Segmentation on Mobile Devices

An Ultra-Low-Power Analog-Digital Hybrid CNN Face Recognition Processor Integrated with a CIS for Always-on Mobile Devices

A 1.32 TOPS/W Energy Efficient Deep Neural Network Learning Processor with Direct Feedback Alignment based Heterogeneous Core Architecture

A Full HD 60 fps CNN Super Resolution Processor with Selective Caching based Layer Fusion for Mobile Devices

CNNP-v2:An Energy Efficient Memory-Centric Convolutional Neural Network Processor Architecture