For decades, networks have been built on the same fundamental principle: dedicated hardware appliances for each network function. Need a firewall? Buy a box. Need load balancing? Purchase another ...

Cloud native networks are not SDN reborn but a fundamentally different way to look at networks. While SDN seemed to take physical network machines and virtualized them, CNFs are not merely ...

Network Functions Virtualization (NFV) has the potential to advance significant change in the way telecom networks are built and operated. Led by seven major communications service providers, NFV ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...

The network team is being bombarded with configuration requests that can take days or weeks to handle, but luckily several approaches are emerging that promise to increase network agility, chief among ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

A new kind of AI is changing the world of communications networks. While traditional AI approaches focus on single-task performance, agentic AI brings an ecosystem of intelligent components working ...