Healthcare is the field that can benefit from the large amount of raw data generated from
portable and wearable devices. This data must be sent to the Cloud for processing due to …

Abstract Tiny Machine Learning (TinyML) is an expanding research area based on pushing
intelligence to the edge and bringing machine learning techniques to very small devices and …

The use of machine learning in medical and assistive applications is receiving significant
attention thanks to the unique potential it offers to solve complex healthcare problems for …

Recent spectacular progress in computational technologies has led to an unprecedented
boom in the field of Artificial Intelligence (AI). AI is now used in a plethora of research areas …

Tiny machine learning (TinyML) is a fast-growing research area committed to democratizing
deep learning for all-pervasive microcontrollers (MCUs). Challenged by the constraints on …

The emergence of Tiny Machine Learning (TinyML) has positively revolutionized the field of
Artificial Intelligence by promoting the joint design of resource-constrained IoT hardware …

Tiny Machine Learning (TinyML), a rapidly evolving edge computing concept that links
embedded systems (hardware and software) and machine learning, with the purpose of …

Internet of things (IoT) enables the integration of smart and intelligent systems in our lives,
subsequently creating an AI-powered society, where the latter is a substantial ingredient in …

Medical technology powered by artificial intelligence is quickly developing into useful
clinical practice solutions. Deep learning algorithms can handle the growing volumes of data …

With the development in technology, many other technologies like machine learning (ML),
deep learning, blockchain technology, Internet of Things, and quantum computing have …