The unprecedented progress in artificial intelligence (AI), particularly in deep learning
algorithms with ubiquitous internet connected smart devices, has created a high demand for …

The progress of some AI paradigms such as deep learning is said to be linked to an
exponential growth in the number of parameters. There are many studies corroborating …

As machine learning and AI continue to rapidly develop, and with the ever-closer end of
Moore's law, new avenues and novel ideas in architecture design are being created and …

Edge Intelligence (EI) is an emerging computing and communication paradigm that enables
Artificial Intelligence (AI) functionality at the network edge. In this article, we highlight EI as …

Deep neural networks have consistently represented the state of the art in most computer
vision problems. In these scenarios, larger and more complex models have demonstrated …

Emerging communication technologies, such as 5G and beyond, have introduced diverse
requirements that demand high performance and energy efficiency at all levels …

Edge AI accelerators are utilized to accelerate the computation in edge AI devices such as
image recognition sensors on robotics, door lockers, drones, and remote sensing satellites …

The use of deep learning on edge AI to detect failures in conveyor belts solves a complex
problem of iron ore beneficiation plants. Losses in the order of thousands of dollars are …

The widespread use of IoT devices has led to the generation of a huge amount of data and
driven the need for analytical solutions in many areas of human activities, such as the field of …

Abstract Conventional IoT wearable sensor Taekwondo motion image recognition model
mainly uses Anchor fixed proportion whole body target anchor frame to extract recognition …