WiMi Implements a Quantum Kernel Convolution (QKC) Scheme Capable of Running on Current Noisy Intermediate-Scale Quantum (NISQ) Devices

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announces the release of a core technology for hybrid Quantum ...

Why this $10 spectrometer chip could bring real-time chemical sensing to wearables

Researchers from the University of Cambridge and GlitterinTech, a startup founded by the same research group, have unveiled a ...
IEEE

CKFO: Convolution Kernel First Operated Algorithm With Applications in Memristor-Based Convolutional Neural Network

Abstract: This article presents a new convolution algorithm: convolution kernel first operated (CKFO), which can solve the problem that the actual calculation is not reduced after pruning the weight ...
Morningstar

MicroCloud Hologram Inc. Releases Hybrid Quantum-Classical Three-Dimensional Object Technology for Multi-Channel Quantum Convolutional Neural Networks

SHENZHEN, China, April 14, 2026 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released a forward-looking technological achievement: ...
Nature

The deep separable convolution with DSC NCF model and optimization mechanism of digital economy for intelligent manufacturing under sales order recommendation algorithm

This study aims to explore the optimization role of deep learning technology in sales order management for smart manufacturing enterprises within the context of the digital economy, as well as its ...
TechRadar

What are convolutional neural networks?

A Convolutional Neural Network (CNN) is a form of artificial intelligence that plays a key role in the AI ecosytem due to its ability to analyze and understand visual data. The need to decipher and ...
PCGamesN

What is Nvidia DLSS? Upscaling, frame gen, and more explained

What is Nvidia DLSS? Deep Learning Super Sampling, or DLSS, is a suite of software technologies that use AI to help you boost your frame rate or game image quality. Originally just a technique for ...
EurekAlert!

Quasi-convolution coding empowers streamlined reservoir computer

A new publication from Opto-Electronic Sciences; DOI 10.29026/oea.2025.240135, discusses how quasi-convolution coding empowers a streamlined reservoir computer. As the pace of digitalization ...
Frontiers

The super-resolution reconstruction algorithm of multi-scale dilated convolution residual network

Aiming at the problems of traditional image super-resolution reconstruction algorithms in the image reconstruction process, such as small receptive field, insufficient multi-scale feature extraction, ...
Nature

Image convolution techniques integrated with YOLOv3 algorithm in motion object data filtering and detection

In order to address the challenges of identifying, detecting, and tracking moving objects in video surveillance, this paper emphasizes image-based dynamic entity detection. It delves into the ...
LinkedIn

Convolution Network, Sparse Interactions, Parameter Sharing, Pooling, Convolution and Pooling as an Infinity Strong Prior and More.

This comprehensive article dissects sparse interactions, parameter sharing, pooling, and their profound impact on model efficiency. Delve into convolution as a potent prior, explore variants of the ...