The Internet of Things (IoT) has been deeply penetrated into a wide range of important and
critical sectors, including smart city, water, transportation, manufacturing, and smart factory …

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 …

The convergence of 5G wireless networks and edge computing enables new edge-native
applications that are simultaneously bandwidth-hungry, latency-sensitive, and compute …

The strategically sound combination of edge computing and artificial intelligence (AI) results
in a series of distinct innovations and disruptions enabling worldwide enterprises to …

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 …

The increasing demand for automation and instant solution leads the technological world
towards massive applications such as the Internet of drones, Autonomous Vehicles (AVs) …

Artificial intelligence (AI) has been applied from cloud servers to edge devices because of its
rapid response, privacy, robustness, and the efficient use of network bandwidth. However, it …

AI technology represented by deep learning has been rapidly evolving in recent years
supported with faster processors and more advanced memory and storage. Additionally, the …

Based on the collective input of Dagstuhl Seminar (21342), this paper presents a
comprehensive discussion on AI methods and capabilities in the context of edge computing …

We introduce the concept of" edge-native applications" that fully exploit the potential of edge
computing and have a deeply symbiotic relationship with it. Such an application is custom …