Brain-inspired chips can slash AI energy use by as much as 100-fold, but the road to mainstream deployment is far from guaranteed.

This work focuses on an Internet of Things (IoT) status update system with the assistance of mobile edge computing (MEC) under short packet communications. The edge server includes a successive ...

The speed of decision-making at the grid edge has become critical for maintaining stability, preventing cascading failures, optimizing efficiency and integrating intermittent renewable resources ...

Master IoT and Edge Computing in 2025 with this comprehensive guide. Explore modern architectures, real-time processing, security, and emerging technologies for connected device ecosystems.

Discover how NTT and IBM approach the problem of powering AI models at the edge computing level — to solve the ‘shrinking giant’ issue once and for all.

The "software-defined" aspect refers to decoupling hardware and software, allowing for a more flexible, programmable and scalable implementation of edge resources.

In summary, edge computing enhances interoperability, optimizes network architecture, and simplifies device management, making it a vital component of modern IoT systems.

ASUS IoT has recently unveiled two innovative Edge AI products, the Tinker System 3N and the Tinker Board 3, both designed to meet the diverse and growing needs of industrial IoT applications.

Edge computing can reduce the amount of transported data in an IoT system by bringing data processing closer to the data sources. In this context, service-oriented distributed systems and their ...