IEEE

GreeNX: An Energy-Efficient and Sustainable Approach to Sparse Graph Convolution Networks Accelerators Using DVFS

Abstract: Graph convolutional networks (GCNs) have emerged as an effective approach to extend deep learning algorithms for graph-based data analytics. However, GCNs implementation over large, sparse ...
IFLScience

"Carter Catastrophe": The Math Equation That Predicts The End Of Humanity

“The Copernican principle is a cornerstone of most of astronomy, it is assumed without question, and plays an important role ...
IEEE

MCTE: Marrying Convolution and Transformer Efficiently for End-to-End Medical Image Segmentation

Abstract: The purpose of the medical image segmentation task is to delineate different organs or lesion regions in the image, which is an important aid for intelligent clinical medical diagnosis.

How we sharpened the James Webb telescope’s vision from a million kilometres away

It was put on Webb to diagnose and measure any blur in its images. Even nanometres of distortion in Webb’s 18 hexagonal ...

WiMi Studies Quantum Dilated Convolutional Neural Network Architecture

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that active exploration is underway in the ...