Novel brain architecture simulated for fast and flexible decision-making

A team of researchers in the Netherlands has proposed a new way of designing computer models of the brain—an approach that ...
TMCnet

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

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released a forward-looking technological achievement: the hybrid quantum-classical three-dimensional ...
Scientific Research Publishing

Predicting Stock Price Movements Using Deep Learning Techniques ()

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
Climate Compass on MSN

The science behind earthquake prediction efforts

Every year, the Earth shakes thousands of times. Most of those tremors go unnoticed, felt only by sensitive instruments ...
Morning Overview on MSN

New AI navigation lets drones fly without GPS or cameras, researchers say

A peer-reviewed study published in Satellite Navigation describes an AI framework that can estimate a drone’s position, ...
IEEE

Graph Neural Network Algorithm Based on Graph Convolution and Attention Mechanism

Abstract: With the wide application of graph neural network (GNN) in many fields, how to extract and aggregate node features effectively has become a hot research issue. In this paper, we propose a ...
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 ...
Frontiers

Quantized convolutional neural networks: a hardware perspective

With the rapid development of machine learning, Deep Neural Network (DNN) exhibits superior performance in solving complex problems like computer vision and natural language processing compared with ...