Whereas most modern IT architectures rely on a centralized data center or cloud solution, edge computing takes a different approach. By adopting a distributed computing model, this new solution ...

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

Discover how Edge AI expert Dwith Chenna is democratizing AI by optimizing models for low-power devices, cutting latency and ...

The micro mobile data center market is growing as industries adopt edge computing, IoT, and AI for faster local processing, boosting demand for modular, portable, and energy-efficient infrastructure ...

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 ...

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 ...

Autonomous edge infrastructure can act to solve a problem before humans have even seen that there is a problem.

The convergence of physical and digital security is driving a shift toward software-driven, open-architecture edge computing. Access control has typically ...

As artificial intelligence (AI) and edge computing continue to accelerate worldwide, industrial displays are undergoing a ...

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 ...

The AI shift to the edge promises faster insights and more resilient operations, but it also transforms the demands placed on ...