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A Perspective on Artificial Intelligence in Manufacturing

A Perspective on Artificial Intelligence in Manufacturing
Author: George Chryssolouris
Publisher: Springer Nature
Total Pages: 142
Release: 2023-01-01
Genre: Computers
ISBN: 3031218280

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This book investigates the rapid developments of Artificial intelligence (AI) as well as their capability to address efficiently and in a cost-effective manner issues of the manufacturing field. A number of manufacturing applications of AI related to manufacturing processes, robots, automation and manufacturing systems design and control, are presented and discussed. The book includes an outlook on a way forward to intelligent manufacturing, through AI. The real benefit from AI in manufacturing will not only derive through the automation of tasks but also through the provision of new levels of autonomy that will make entirely new applications possible and introduce new business processes in manufacturing.


The Future Computed - AI and Manufacturing

The Future Computed - AI and Manufacturing
Author: Greg Shaw
Publisher:
Total Pages:
Release: 2019-05-23
Genre:
ISBN: 9780999750827

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The Future Computed: AI and Manufacturing is the next book in Microsoft's The Future Computed series looking at the impact of AI on society. The book features stories from industry leaders and policymakers from around the world, sharing insights into how customers can progress their AI journey. IT also sets out suggestions about how countries can build competitive manufacturing sectors while delivering AI and addressing short-term disruption.


Artificial Intelligence in Manufacturing

Artificial Intelligence in Manufacturing
Author: John Soldatos
Publisher: Springer
Total Pages: 0
Release: 2024-01-03
Genre: Technology & Engineering
ISBN: 9783031464515

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This open access book presents a rich set of innovative solutions for artificial intelligence (AI) in manufacturing. The various chapters of the book provide a broad coverage of AI systems for state of the art flexible production lines including both cyber-physical production systems (Industry 4.0) and emerging trustworthy and human-centered manufacturing systems (Industry 5.0). From a technology perspective, the book addresses a wide range of AI paradigms such as deep learning, reinforcement learning, active learning, agent-based systems, explainable AI, industrial robots, and AI-based digital twins. Emphasis is put on system architectures and technologies that foster human-AI collaboration based on trusted interactions between workers and AI systems. From a manufacturing applications perspective, the book illustrates the deployment of these AI paradigms in a variety of use cases spanning production planning, quality control, anomaly detection, metrology, workers’ training, supply chain management, as well as various production optimization scenarios. This is an open access book.


Topics in Artificial Intelligence Applied to Industry 4.0

Topics in Artificial Intelligence Applied to Industry 4.0
Author: Mahmoud Ragab AL-Refaey
Publisher: John Wiley & Sons
Total Pages: 325
Release: 2024-03-28
Genre: Computers
ISBN: 1394216130

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Topics in Artificial Intelligence Applied to Industry 4.0 Forward thinking resource discussing emerging AI and IoT technologies and how they are applied to Industry 4.0 Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR, and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies. The text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines. Written by highly qualified authors, Topics in Artificial Intelligence Applied to Industry 4.0 explores sample topics such as: Quantum machine learning, neural network implementation, and cloud and data analytics for effective analysis of industrial data Computer vision, emerging networking technologies, industrial data spaces, and an industry vision for 2030 in both developing and developed nations Novel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart environment Future professions in agriculture, medicine, education, fitness, R&D, and transport and communication as a result of new technologies Aimed at researchers and students in the interdisciplinary fields of Smart Manufacturing and Smart Applications, Topics in Artificial Intelligence Applied to Industry 4.0 provides the perfect overview of technology from the perspective of modern society and operational environment.


AI in Manufacturing and Green Technology

AI in Manufacturing and Green Technology
Author: Sambit Kumar Mishra
Publisher: CRC Press
Total Pages: 168
Release: 2020-10-20
Genre: Technology & Engineering
ISBN: 1000171892

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This book focuses on environmental sustainability by employing elements of engineering and green computing through modern educational concepts and solutions. It visualizes the potential of artificial intelligence, enhanced by business activities and strategies for rapid implementation, in manufacturing and green technology. This book covers utilization of renewable resources and implementation of the latest energy-generation technologies. It discusses how to save natural resources from depletion and illustrates facilitation of green technology in industry through usage of advanced materials. The book also covers environmental sustainability and current trends in manufacturing. The book provides the basic concepts of green technology, along with the technology aspects, for researchers, faculty, and students.


Reinventing Manufacturing and Business Processes Through Artificial Intelligence

Reinventing Manufacturing and Business Processes Through Artificial Intelligence
Author: Geeta Rana
Publisher: CRC Press
Total Pages: 0
Release: 2021-12
Genre: Business & Economics
ISBN: 9780367702106

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"This book describes how newly emerging Artificial Intelligence (AI) technologies will provide unprecedented opportunities to penetrate technology and automation into everything we do, and at the same time, provide a huge playing field for businesses to develop newer models to capture market share. It establishes a milestone in understanding global transformational changes occurring in the manufacturing and corporate world due to AI and tries to find powerful and sophisticated solutions that will improve and streamline operations. Reinventing Manufacturing and Business Processes through Artificial Intelligence will be of interest to students, researchers, and professionals of the AI community as well as interdisciplinary researchers"--


The Future Computed

The Future Computed
Author:
Publisher:
Total Pages:
Release: 2018
Genre:
ISBN:

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Design and Implementation of Intelligent Manufacturing Systems

Design and Implementation of Intelligent Manufacturing Systems
Author: Mohammed Jamshidi
Publisher: Pearson Education
Total Pages: 451
Release: 1995-05-24
Genre: Technology & Engineering
ISBN: 0132442078

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The introduction of artificial intelligence, neural networks, and fuzzy logic into industry has given a new perspective to manufacturing processes in the U.S. and abroad. To help readers keep pace, this book addresses topics of intelligent manufacturing from a variety of theoretical, empirical, design, and implementation perspectives.


Industrial AI

Industrial AI
Author: Jay Lee
Publisher: Springer Nature
Total Pages: 176
Release: 2020-02-07
Genre: Business & Economics
ISBN: 9811521441

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This book introduces Industrial AI in multiple dimensions. Industrial AI is a systematic discipline which focuses on developing, validating and deploying various machine learning algorithms for industrial applications with sustainable performance. Combined with the state-of-the-art sensing, communication and big data analytics platforms, a systematic Industrial AI methodology will allow integration of physical systems with computational models. The concept of Industrial AI is in infancy stage and may encompass the collective use of technologies such as Internet of Things, Cyber-Physical Systems and Big Data Analytics under the Industry 4.0 initiative where embedded computing devices, smart objects and the physical environment interact with each other to reach intended goals. A broad range of Industries including automotive, aerospace, healthcare, semiconductors, energy, transportation, mining, construction, and industrial automation could harness the power of Industrial AI to gain insights into the invisible relationship of the operation conditions and further use that insight to optimize their uptime, productivity and efficiency of their operations. In terms of predictive maintenance, Industrial AI can detect incipient changes in the system and predict the remains useful life and further to optimize maintenance tasks to avoid disruption to operations.


Artificial Intelligence WILL Revolutionize Manufacturing

Artificial Intelligence WILL Revolutionize Manufacturing
Author: Markus Guerster
Publisher: Independently Published
Total Pages: 0
Release: 2024-02-09
Genre: Business & Economics
ISBN:

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In "Artificial Intelligence WILL Revolutionize Manufacturing," Markus offers a concise yet profound exploration of how Artificial Intelligence is set to transform the manufacturing industry. Drawing from his own experiences and deep understanding of AI, Markus effectively demystifies the concept of Industry 4.0. The book focuses on the Industry 4.0 Flywheel, a model demonstrating how continuous improvement and innovation can be achieved through AI and Machine Learning. Markus provides actionable steps for manufacturers to integrate AI into their processes, emphasizing the technology's transformative potential. This guide is not just informative but a compelling invitation to industry professionals to embrace AI and drive a revolution in manufacturing.