Computational Intelligence in Manufacturing Technologies

Abstract

This chapter delves into the fusion of machine learning and artificial intelligence, emphasizing both supervised and unsupervised learning methodologies, as well as their implementations in deep learning, AI-powered automation, and robotics. The text explores the correlation between cyber-physical systems (CPS) and the internet of things (IoT), showcasing their influence in the development of intelligent factories through the analysis of real-life examples. The chapter examines and evaluates the difficulties encountered in the implementation of these technologies, encompassing technological, organizational, and ethical obstacles. Ultimately, it anticipates upcoming developments, highlighting nascent technology, the partnership between humans and machines, and the necessity for flexible policies and regulations. This thorough investigation provides a strong argument for the essential requirement of computational intelligence in tackling current manufacturing difficulties and emphasizes its extensive capacity for innovation and enhancement in the sector.