Wearable and implantable biomedical devices are becoming increasingly commonplace in
the assessment and treatment of chronic disease. Meanwhile, improvements in machine …

A new device architecture using giant magnetoresistive sensors demonstrates the capability
to detect very low magnetic fields on the pT range. A combination of vertically packed spin …

An Internet of Things (IoT)-based system is smart system that provides automated and
intelligent services. However, its intelligence still depends on the pre-ruled functions, which …

In this paper, artificial intelligence (AI) and the ideas of machine learning (ML) and deep
learning (DL) are introduced gradually. Applying ML techniques like deep neural network …

Hardware accelerator-based CNN inference improves the performance and latency but
increases the time-to-market. As a result, CNN deployment on hardware is often outsourced …

In a competitive business environment, retail organizations in the Western world are
capitalizing on technological tools and solutions to enhance customer experience and boost …

The vast increase in connected Internet of Things (IoT) devices have revolutionised how
data are processed. This fact, coupled with the current trend from cloud to edge computing …

The technology advances in the recent years have led to the spread use of Machine
Learning (ML) models in embedded systems. Due to the battery limitations of such edge …

This chapter presents a comprehensive study and analysis of the edge computing paradigm,
explaining elements of edge AI. Furthermore, it discusses the edge intelligence approach for …

Artificial Intelligence (AI) is powering everything from devices, applications and services.
Machine learning a branch of AI requires powerful infrastructure platform to do training and …