As we move from 5G to 6G, edge computing is one of the concepts that needs revisiting. Its
core idea is still intriguing: Instead of sending all data and tasks from an end user's device to …

This book divides edge intelligence into AI for edge (intelligence-enabled edge computing)
and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to …

Mobile autonomous systems are supposed to deeply impact in manufacturing, space
exploration, rescue, defense, transportation, and everyday life. Autonomous air-ground …

Edge intelligence focuses on pushing the data processing of resource-intensive AI-based
applications to the Edge of the network. Indeed, Edge computing enables machine and …

Fifth-generation mobile networks (5G) promise higher flexibility compared with 4G, while
also fulfilling the service-level agreement (SLA). To achieve this, the European …

In the last five years, edge computing has attracted tremendous attention from industry and
academia due to its promise to reduce latency, save bandwidth, improve availability, and …

In this white paper we provide a vision for 6G Edge Intelligence. Moving towards 5G and
beyond the future 6G networks, intelligent solutions utilizing data-driven machine learning …

As the Internet of Things (IoT) landscape grows, with estimates exceeding 75 billion devices
by 2025, effective data management and processing become primary challenges …

The intersection of AI, the Internet of Things (IoT) and edge computing has kindled the edge
AI revolution that promises to redefine how we perceive and interact with the physical world …

Traditional machine learning is centralized in the cloud (data centers). Recently, the security
concern and the availability of abundant data and computation resources in wireless …