Google claims its latest quantum algorithm can outperform supercomputers on a real-world task

Researchers from Google Quantum AI report that their quantum processor, Willow, ran an algorithm for a quantum computer that ...
IEEE Spectrum on MSN

Why Mesh Networks Break When Big Crowds Gather

In a paper presented last week at the ACM Conference on Computer and Communications Security in Taipei, the researchers ...
IEEE

An Energy-Efficient and Transmission-Efficient Adaptive Routing Algorithm Using Deep Reinforcement Learning for Wireless Sensor Networks

Abstract: How to improve energy efficiency and transmission efficiency for Wireless Sensor Networks (WSN) through dynamic routing is a challenge. This paper introduces MADII, an adaptive routing ...
Morningstar

iconectiv to Shine Spotlight on New Innovations in Network Intelligence and Call Routing and Blocking

Cutting-Edge Telecom Platforms for Combatting Fraud, Streamlining Operations and Maintaining Compliance Take Center Stage at CCA Annual Convention As telecom networks face mounting pressure from fraud ...
The New York Times

Ex-Employee Sentenced to 4 Years for Sabotaging Company’s Computer Network

The man, a former software developer for Eaton Corporation, wrote malicious code that crashed servers on the company’s network in 2019, prosecutors said. By Hannah Ziegler A former software developer ...
INSPIRE

Challenges in Applying Variational Quantum Algorithms to Dynamic Satellite Network Routing

Applying near-term variational quantum algorithms to the problem of dynamic satellite network routing represents a promising direction for quantum computing. In this work, we provide a critical ...
Scientific Research Publishing

Nakas, C., Kandris, D. and Visvardis, G. (2020) Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey. Algorithms, 13, Article 72.

ABSTRACT: The growing demand for energy-efficient Wireless Sensor Networks (WSNs) in applications such as IoT, environmental monitoring, and smart cities has sparked exhaustive research into practical ...
Frontiers

Distributed quantile regression over sensor networks via the primal–dual hybrid gradient algorithm

As one of the important statistical methods, quantile regression (QR) extends traditional regression analysis. In QR, various quantiles of the response variable are modeled as linear functions of the ...
Frontiers

Enhancing tool condition monitoring in friction stir welding with probabilistic neural network algorithm

1 School of Mechanical Engineering, Vellore Institute of Technology, Chennai, India 2 Centre for e-Automation Technologies, Vellore Institute of Technology, Chennai, India Introduction: Friction Stir ...