WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...

AI sheds light on hard-to-study ocean currents

The Indonesian Throughflow carries both warm water and fresh water from the Pacific into the Indian Ocean. As the only ...
Deep Learning with Yacine on MSN

Inception Net V1 explained: Step-by-step PyTorch implementation

Learn how the Inception Net V1 architecture works and how to implement it from scratch using PyTorch. Perfect for deep ...
The American Journal of Managed Care

Convolutional Neural Network Improves MS Lesion Segmentation

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, making it more applicable in clinical settings. The algorithm outperformed ...
Fox News

BROADCAST BIAS: Networks blast Trump ‘tirade’ but not $1B Somali scam rocking Minnesota

Many local stories that could be harmful to Democrat politicians don’t become national TV stories for an obvious reason. In the case of the massive welfare fraud committed by Somalis in Minnesota ...
Scientific Research Publishing

Research on Structural Damage Identification Method Based on Convolutional Neural Network ()

1 College of Finance and Commerce, Guangzhou Railway Polytechnic, Guangzhou, China. 2 School of Intelligent Construction and Civil Engineering, Zhongyuan University of Technology, Zhengzhou, China. 3 ...
IndustryWeek

IT OT Networks Introduction

Discover how the convergence of Information Technology (IT) and Operational Technology (OT) is revolutionizing industrial operations. This insightful video explores the critical differences between ...
IEEE

3D Scene Collision DetectionTechnology Based on Convolutional Neural Network

Abstract: Aiming at the slow collision detection speed and poor accuracy in complex virtual scenes, a new collision detection technology based on convolutional neural network (CNN) is proposed. Using ...
EurekAlert!

Real-time, large-scale graph neural network inference through BingoCGN

BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...
Phys.org

Self-learning neural network cracks iconic black holes

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from the ...
IEEE

Introduction to Heterogeneous Knowledge Transfer for Quantum Convolutional Neural Networks

Abstract: The convolutional neural network (CNN) is widely utilized in computer vision due to its ability to effectively harness correlation information within data. However, when the data's ...