Algorithm precisely quantifies flow of information in complex networks

Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically ...
Tech Xplore

VFF-Net algorithm provides promising alternative to backpropagation for AI training

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...
Devdiscourse

How AI integration in biosensors enhances food safety and accuracy

AI-powered biosensors can analyze intricate datasets from sensors in real time. Machine learning and deep learning algorithms ...
Frontiers

Spiking Neural Networks at Scale: Learning Algorithms, Architectures, and Real-World Applications

Spiking Neural Networks (SNNs) are a cutting-edge approach to artificial intelligence, designed to emulate the brain's architecture and functionality. Their ...

Core Application Scenarios of AI Technology in the Equipment Manufacturing Industry

The MES system integrates genetic algorithms and particle swarm optimization mixed algorithms to capture over 10 types of ...
IEEE

Resilience Evaluation and Optimization Method of Large-Scale LEO Satellite Networks Based on Entropy Theory

Abstract: low-Earth orbit (LEO) satellite networks, with their advantages of low latency, wide coverage, and high data rates, have become a core component of 6G networks. However, due to the ...