Edge computing enables data to be analyzed where it’s created—in stores, warehouses, and even in consumer-facing devices.

Machines operate autonomously, self-correcting in real time to prevent downtime. Workers, empowered by AI, focus on ...

The demand for AI in manufacturing stems from a perfect storm of challenges: increasing product complexity, the pressure for ...

The global edge computing market size is expected to reach $327,79-billion by 2033, and is expected to expand at 33% CAGR from 2025 to 2033, according to a new report by Grand View Research.

A unified platform with zero-touch provisioning (ZTP) allows enterprises to amplify their AI capabilities without big ...

CRN rounds up seven new, cutting-edge AI chips from Nvidia and rivals such as Google and AMD that have been released recently ...

As artificial intelligence (AI) usage and sophistication grows, questions about the sustainability of the traditional model ...

Why AI at the edge matters: discover how fast, local AI powered by broadband and Wi-Fi transforms real-time services, privacy ...

The integration of UAVs and AI is enabling faster, safer, and more scalable ecological surveillance. Multirotor drones offer ...

Only 32 nations, mostly in the Northern Hemisphere, have A.I.-specialized data centers. Last month, Sam Altman, the chief ...

The European Commission made the announcement four months after committing €20 billion ($23 billion) in EU funding to build ...