Edge computing promotes the execution of complex computational processes without the
cloud, ie, on top of the heterogeneous, articulated, and possibly mobile systems composed …

Edge computing enables the computation and analytics capabilities to be brought closer to
data sources. The available literature on AI solutions for edge computing primarily …

The recent revival of artificial intelligence (AI) is revolutionizing almost every branch of
science and technology. Given the ubiquitous smart mobile terminals and Internet of Things …

It is undeniable that the recent revival of artificial intelligence (AI) has significantly changed
the landscape of science in many application domains, ranging from health to defense and …

The ubiquitous use of IoT and machine learning applications is creating large amounts of
data that require accurate and real-time processing. Although edge-based smart data …

Abstract The National Science Foundation (NSF) Artificial Intelligence (AI) Institute for Edge
Computing Leveraging Next Generation Networks (Athena) seeks to foment a transformation …

Edge Intelligence: From Theory to Practice is a reference book suitable for lecturing the most
relevant topics of edge computing and its ties to artificial intelligence (AI) and machine …

In recent years, we have been observing the rapid growth and adoption of IoT-based
systems, enhancing multiple areas of our lives. Concurrently, the utilization of machine …

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 …

The synergy of distributed frameworks with Artificial Intelligence (AI) is pivotal for advancing
applications in cloud computing. This review focuses on AI-powered applications in …