Neural Computing

Static and dynamic precision adaptation for hardware learning and classification

Flexible and Efficient XNOR Circuit Architecture for Neural Network Based Deep Learning

Connection Topology Optimization of Photovoltaic Arrays Using Neural Networks

Hardware-Noise-Aware Training for Improved Accuracy of In-Memory-Computing-Based Deep Neural Networks

Binary Neural Network for Improved Accuracy and Defense Against Bit-Flip Attacks

Multi-fidelity Data Aggregation using Convolutional Neural Networks

Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing

Masked-Based Learning Method for Neural Network Multiple Task Adaption

Temperature-Resilient RRAM-Based In-Memory Computing for DNN Inference

Fracture Pattern Prediction with Random Microstructure using Deep Neural Network