As part of its standardization efforts, Meta said it would be a key player in the new Ethernet for Scale-Up Networking (ESUN) ...
Spiking Neural Networks (SNNs) are a cutting-edge approach to artificial intelligence, designed to emulate the brain's architecture and functionality. Their ...
A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...
Over the weekend, some people noticed that GPT-4o is routing requests to an unknown model out of nowhere. It turns out to be a "safety" feature. ChatGPT routes some conversations to different models ...
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 ...
Copyright 2025 The Associated Press. All Rights Reserved. Copyright 2025 The Associated Press. All Rights Reserved. A Bay Area Rapid Transit train approaches a BART ...
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 ...
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 ...
first learning of human drivers, which then 'mutate` to CAVs, are trained to optimize routing policies with the implemented algorithm. When the training is finished, it uses raw results to compute a ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback