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 …

In this era of the Internet of Everything (IoE), edge computing has emerged as the critical
enabling technology to solve a series of issues caused by an increasing amount of …

By moving data computation and service supply from the cloud to the edge, edge computing
has become a promising solution to address the limitations of cloud computing in supporting …

The Internet of Things (IoT) has created a ubiquitously connected world powered by a
multitude of wired and wireless sensors generating a variety of heterogeneous data over …

Edge computing brings computing and storage resources closer to (mobile) end users and
data sources, thus bypassing expensive and slow links to distant cloud 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 …

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 …

The amount of data generated by sensors, actuators, and other devices in the Internet of
Things (IoT) has substantially increased in the last few years. IoT data are currently …

Given its advantages in low latency, fast response, context-aware services, mobility, and
privacy preservation, edge computing has emerged as the key support for intelligent …

The Internet is evolving rapidly toward the future Internet of Things (IoT) which will potentially
connect billions or even trillions of edge devices which could generate huge amount of data …