Expanding the search for quantum-ready 2D materials

Quantum technologies from ultrasensitive sensors to next-generation information processors depend on the ability of quantum ...
IEEE

Design and Synthesis of Row-Stationary Hardware Accelerators for 2D Convolution

Convolution operations are fundamental to Convolutional Neural Networks (CNNs), which are widely used in applications such as video compression and image recognition. However, these operations are ...
IEEE

Spectral-Spatial Convolutional Hybrid Transformer for Hyperspectral Image Classification

Abstract: The combination of Convolutional neural networks (CNNs) and Transformers has achieved excellent performance in hyperspectral image classification due to the characteristics of local features ...