Why is edge computing critical for Web3 infrastructure? Know how local data processing reduces latency, improves scalability, and strengthens privacy in decentralized apps.

Just as data centers become the AI industry’s hottest trade, a whole new hot button is already materializing. It’s artificial intelligence itself, however, that’s making this aspect of the AI movement ...

The rise of edge technology is transforming how data is processed and decisions are made, right where data is generated. Unlike traditional cloud computing, intelligent edge computing pushes ...

The early stages of the artificial intelligence (AI) revolution put hardware companies like Nvidia in the spotlight, and more recently, data centers have taken center stage as AI's top investment ...

The vendor’s new Kraken release is ‘helping developers write apps faster, having people who don’t normally or could never have written an app contribute to applications. And that causes an explosion ...

By Yangchula Bhutia Georgios Bouloukakis, University of Patras; Institut Mines-Télécom (IMT) “Edge computing”, which was ...

Edge AI is a form of artificial intelligence that in part runs on local hardware rather than in a central data center or on cloud servers. It’s part of the broader paradigm of edge computing, in which ...

‘When the cloud came along, there were so many apps. One of the benefits was, you need a database, you just click a button and magically have a database. That’s where we’re taking Scale. It’s not that ...

Imagine a hospital where a clinician can receive critical diagnostic insights in real-time, patient care isn't hindered by geography or resource limitations, and administration is so frictionless that ...

Joel Snyder, Ph.D., is a senior IT consultant with 30 years of practice. An internationally recognized expert in the areas of security, messaging and networks, Dr. Snyder is a popular speaker and ...