A large freighter enters a bustling, difficult-to-navigate Belgian port in poor weather — but the captain can rest easy because a remote pilot is guiding the ship to safe harbor. Next door in Germany, ...

Quantum Internet Alliance (QIA) researchers at TU Delft, QuTech, University of Innsbruck, INRIA and CNRS recently announced the creation of the first operating system designed for quantum networks: ...

Continuing our look at the work of the IOWN project, we find out what use cases the next evolved generation of the infrastructure will support and which firms are likely to gain.

The technology provides secure remote access to a broad spectrum of applications and network resources Application-layer VPNs are generating lots of attention these days. Proponents cite the ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

This vendor-written tech primer has been edited by Network World to eliminate product promotion, but readers should note it will likely favor the submitter’s approach. Today, every business in every ...

SAN JOSE, Calif.--(BUSINESS WIRE)--A10 Networks (NYSE: ATEN) today announced a set of solutions that deliver application security and availability for customers who are increasingly facing the ...

From mainframe, to client-server, to web, to cloud, IT architectures have evolved to support the way people demand to work. In a sense, everything old is new again: Modern cloud-computing technology ...

Neural networks have emerged as a pivotal technology in enhancing the precision and reliability of depth of anaesthesia (DoA) monitoring. By integrating advanced signal processing techniques with ...

Over the last decade or so, open source development has skyrocketed, and network management software has ridden that wave. Many frustrated IT administrators have turned to free tools to monitor, ...

Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...