Extensive deployment of AI services, especially mobile AI, requires the support of edge
computing. This support is not just at the network architecture level, the design, adaptation …

This chapter presents a comprehensive study and analysis of the edge computing paradigm,
explaining elements of edge AI. Furthermore, it discusses the edge intelligence approach for …

Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …

The Internet of Things (IoT) and edge computing applications aim to support a variety of
societal needs, including the global pandemic situation that the entire world is currently …

Edge AI refers to the deployment of AI software on hardware throughout the real world.
Recently industry 4.0 adopted the cases on plant automation, factory robot, edge computing …

Along with the rapid developments in communication technologies and the surge in the use
of mobile devices, a brand-new computation paradigm, edge computing, is surging in …

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 …

In the current era, advancements in deep learning have seen the services and uses of
artificial intelligence (AI) flourish. From individual support and commendation structures to …

As an important enabler for changing people's lives, advances in artificial intelligence (AI)-
based applications and services are on the rise, despite being hindered by efficiency and …

Edge computing, together with soon-to-come 5G technologies and future 6G vision, enable
distributed computing platforms with computational and data resources in the close proximity …