Today Edge computing is witnessing an essential interest in new use cases, especially after
the introduction of 4G and 5G. Today's many applications/sectors are also heavily investing …

Driven by the Internet of Things (IoT), a new computing model–Edge computing–is currently
evolving, which allows IoT data processing, storage and service supply to be moved from …

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 …

Edge intelligence allows bringing data (pre-) processing and decision-making closer to the
data source, which reduces delays in communication. In addition, such (pre-) processing …

Driven by the vision of the Internet of things (IoT) and recent technological advances, the
past few years have seen a paradigm shift from centralized cloud computing to edge …

Recent years have witnessed the widespread popularity of Internet of things (IoT). By
providing sufficient data for model training and inference, IoT has promoted the development …

The advent of the Internet of Things (IoT) has witnessed a rapid proliferation of
interconnected devices capable of sensing, collecting, and exchanging vast amounts of …

As the world grapples with the challenges posed by the sheer volume of data and the
limitations of traditional cloud computing, we shine a spotlight on Edge Computing as a …

Edge computing, artificial intelligence (AI), and machine learning (ML) concepts have
become increasingly prevalent in Internet of Things (IoT) applications. As the number of IoT …

Deep learning is a new approach to artificial intelligence that enables edge-computing
systems to learn from data and take decisions without human intervention. Edge computing …