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

Fault Classification in Photovoltaic Arrays Using Dropout and Pruned Neural Networks

Improved Mapping of Computational Loops on Reconfigurable Architectures

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

Systems and Algorithms for Few-Shot Node Classification on Graphs

Optimizing Solar Power using Array Topology Reconfiguration and Deep Neural Network

Multi-fidelity Data Aggregation using Convolutional Neural Networks