David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

New Platform Capabilities Support Gartner’s Call for a Cryptographic Center of Excellence The Phio TX CMC gives ...

Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement. With more development, the system ...

As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, ...

Abstract: In this article, we explore two data-driven methods to perform fault estimation on a linear time-invariant discrete-time state-space model, whose state equation is affected by both ...

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that compute shortest paths through vast networks. Now imagine scaling that task ...

Abstract: A general problem in multi-node systems is data synchronization, where the most used method uses synchronous data updating. All changes made by the user are immediately reflected in the data ...

AI-based platforms are transforming how we navigate digital ecosystems. Using artificial intelligence, these platforms analyze vast datasets, enabling personalized content recommendations, enhanced ...

Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...