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 ...
Understanding neural network activation functions is essential whether you use an existing software tool to perform neural network analysis of data or write custom neural network code. This article ...
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 ...
Getting started on designing a network is a task of formidable proportions, but all the more so if you are looking to build a secure IT network. Often, IT system administrators are not fully familiar ...
Every telecom system is bursting with information about subscribers, services and devices—not to mention the telco's network equipment and operational status. This data is both sensitive and necessary ...
Ethereum co-founder Vitalik Buterin, who argued three years ago for pushing more of the blockchain's computational load onto affiliated networks known as "layer-2 networks" or "rollups," has just ...
MakerDAO, a decentralized autonomous organization (DAO) serving the popular DeFi lending protocol Maker, has announced an upcoming deployment schedule on the decentralized zero-knowledge (ZK) Ethereum ...
We met Mr. Murphy, of “What can go wrong, will” infamy, in the introduction to failure modes and the discussion of failure modes at the foundation levels. Now we will learn his tricks on shared media ...
James McCaffrey explains what neural network activation functions are and why they're necessary, and explores three common activation functions. Understanding neural network activation functions is ...
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