Overview: IoT infrastructure platforms provide the backbone for device connectivity, data ingestion, real-time analytics, and secure management of vast IoT ecos ...

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

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 ...

IoT MVNOs drive global connectivity for smart devices across industries, leveraging innovative tech like eSIM and 5G to ...

Inturai achieves quantum-safe security for global IoT edge devices, using post-quantum cryptography to protect against future ...

Overview: Edge tech cuts delay and helps AI tools respond faster in cities, industries and public systems across India.Local processing protects sensitive data ...

Partnership Enhances GTC's Portfolio with Advanced AI-Powered 5G and Edge Computing Solutions for the Global Trillion-Dollar ...

Enterprise 5G use cases, surging data traffic, and major global network deals are setting the stage for ERIC, NOK, and COMM's next growth wave.

The top predictions from Arm for 2026 as the world enters a new era of intelligent computing. The world’s relationship with compute is changing — from centralized clouds to distributed intelligence ...

The 16nm ECS-DoT advances EMASS's edge AI capabilities through higher integration, expanded on-chip resources and improved power efficiency, enabling more capable always-on intelligence without ...

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 ...

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