Modern IoT environments increasingly involve intensive data processing, using advanced
algorithms for artificial intelligence, locally on the nodes themselves. That is, for various …

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 a few years, the world will be populated by billions of connected devices that will be
placed in our homes, cities, vehicles, and industries. Devices with limited resources will …

Technological development and market expansion offer an increased availability of
resources and computing power on IoT nodes at affordable cost. The edge computing …

The recent advancement in edge computing allows IoT devices to be smart enough to
collect the surrounding data and react to the environment based on a predefined logic set or …

The massive number of Internet of Things (IoT) devices connected to the Internet is
continuously increasing. The operations of these devices rely on consuming huge amounts …

As the number of interconnected devices increases and more artificial intelligence (AI)
applications upon the Internet of Things (IoT) start to flourish, so does the environmental cost …

Abstract The Internet of Things (IoT) is a massively growing field with billions of devices in
the field serving a multitude of purposes. Traditionally, IoT architectures consist of “edge” …

We are living in an era where the Edge of the Cloud is becoming a global platform for the
computation and interaction between machines and smart objects, in realtime applications …

We are living in an era where the Artificial Intelligence (AI) is becoming a global platform for
the computation and interaction between machines and smart objects in real-time …