Along with the proliferation of the Internet of Things (IoT) and the surge in the use of artificial
intelligence (AI), Edge Computing has proved considerable success in reducing latency …

The fusion of edge computing and artificial intelligence (AI) technology is a key enabler for
the smart Internet of Things (IoT). However, these two emerging paradigms face many …

Recent advances in artificial intelligence, edge computing, and big data have enabled
extensive reasoning capabilities at the edge of the network. Edge servers are now capable …

The rapid growth of the Internet of Things (IoT) has exponentially increased the number of
connected devices that generate large amounts of data. Leveraging advanced technologies …

Abstract The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT), or
AIoT, has breathed a new life into IoT operations and human-machine interactions …

In the past few years, researchers from academia and industry stakeholders suggest adding
more computational resources (ie, storage, networking, and processing) closer to the end …

In this paper, we investigate how to deploy computational intelligence and deep learning
(DL) in edge-enabled industrial IoT networks. In this system, the IoT devices can …

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 …

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 …

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 …