Tiny Machine Learning: Fundamentals, Applications and Security (Artificial Intelligence and Soft Computing for Industrial Transformation)

Stay at the forefront of the embedded AI revolution by mastering the specialized hardware and software strategies needed to bring high-performance machine learning to the world’s most resource-constrained devices.TinyML (tiny machine learning), short for tiny machine learning, represents a groundbreaking intersection of machine learning and embedded systems, enabling the deployment of intelligent applications on resource-constrained devices.It empowers these devices to perform complex tasks, like image and speech recognition, locally without relying on cloud servers.This burgeoning field opens up many possibilities, from enhancing IoT devices to revolutionizing healthcare and intelligent infrastructure.As technology advances, TinyML promises to make our everyday devices more innovative, responsive, and efficient than ever before.By bringing inference to resource-constrained hardware, TinyML supports real-time decision-making while addressing critical concerns such as latency, power con