The ‘intelligence revolution’ in computing is no longer about bolting on one more accelerator or building a bigger server.

There are challenges and solutions for processing AI workloads on-device to achieve consistent performance, reduce costs, and ...

The WBA's industry report, in summary. Plus, download the PDF from this site, and get key learnings from its contents.

Traffic routing: The mobile core continually requires optimized traffic routing in response to external demands, scaling, and maintenance, among other factors. Agentic AI enables a set of cloud-native ...

The future of cybersecurity means defending everywhere. Securing IoT, cloud, and remote work requires a unified edge-to-cloud ...

AI developers sell services on a usage-based pricing model, but they are often locked into rigid, long-term contracts for underlying computing resources. Many investors are worried this is a flawed ...

The International Telecommunication Union (ITU) has identified future 6G use cases such as “integrated artificial ...

By Glen Gulyas, President, Available Networks In October 2025, a single technical glitch brought down Amazon Web Services for ...

Edge computing and AI solution provider Armada has shown how it can keep military teams connected even in the world’s most ...

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI A decade ago, artificial intelligence was still something we ...

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 ...

The data centers used for work on AI can cost tens of billions to build. Tech giants are finding ways to avoid being on the ...