Название: A Roadmap for Enabling Industry 4.0 by Artificial IntelligenceАвтор: Jyotir Moy Chatterjee, Harish Garg, R.N. Thakur
Издательство: Wiley-Scrivener Publishing
Год: 2023
Страниц: 339
Язык: английский
Формат: pdf (true)
Размер: 14.5 MB
The book presents comprehensive and up-to-date technological solutions to the main aspects regarding the applications of Artificial Intelligence (AI) to Industry 4.0. The Industry 4.0 vision has been discussed for quite a while and the enabling technologies are now mature enough to turn this vision into a grand reality sooner rather than later. The fourth industrial revolution, or Industry 4.0, involves the infusion of technology-enabled deeper and decisive automation into manufacturing processes and activities. Several information and communication technologies (ICT) are being integrated and used towards attaining manufacturing process acceleration and augmentation. This book explores and educates the recent advancements in blockchain technology, Artificial Intelligence, supply chains in manufacturing, cryptocurrencies, and their crucial impact on realizing the Industry 4.0 goals. The book thus provides a conceptual framework and roadmap for decision-makers for implementing this transformation.
Artificial Intelligence (AI) can be explained as the use of computer programming to mimic human thought and actions to create human-like responses through machine learning, logic, perception, and reasoning. Legendary physicist Stephen Hawking quotes “Success in creating effective AI could be the biggest event in the history of our civilization. Or the worst. We just don’t know. So, we cannot know if we will be infinitely helped by AI, or ignored by it and side-lined, or conceivably destroyed by it.”
Artificial Intelligence (AI) obviously is a significant technology among the other technological applications in the industry 4.0 as it principally works on the foundation of computer learning and augmentation pertinent to the entire industry ecosystem. Most importantly, AI technology has tremendous scope for its application in manufacturing industries in the production and design stages enabling reduction in human errors, production efficiency and reduction in losses. Moreover, the use of AI techniques, such as machine learning and deep learning, have substantial contribution toward advancement of global economy as the global race for embedding AI into businesses have already started reaching milestones in some countries.
Audience:
Computer and Artificial Intelligence scientists, information and communication technology specialists, and engineers in electronics and industrial manufacturing will find this book very useful.
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