Название: Artificial Intelligence and Communication Techniques in Industry 5.0
Автор: Payal Bansal, Rajeev Kumar, Ashwani Kumar, Daniel D. Dasig, Jr.
Издательство: CRC Press
Год: 2025
Страниц: 421
Язык: английский
Формат: pdf (true)
Размер: 51.4 MB
The book highlights the role of Artificial Intelligence (AI) in driving innovation, productivity, and efficiency. It further covers applications of Artificial Intelligence for digital marketing in Industry 5.0 and discusses data security and privacy issues in Artificial Intelligence, risk assessments, and identification strategies. We explore the diverse range of AI algorithms that are pushing the boundaries of innovation and discovery, from traditional algorithms like decision trees and support vector machines to state-of-the-art Deep Learning architectures and Reinforcement Learning strategies. Additionally, we highlight new directions and paradigms that are changing the field of AI research and development, such as neuromorphic computing, quantum computing-based algorithms, explainable AI, and Federated Learning. The book presents 24 chapters dealing with the applications areas of Artificial Intelligence (AI) and communication techniques in Industry 5.0. Chapter 1 explores the applications of AI in various aspects of manu facturing, including intelligent automation, predictive maintenance, and quality control. By leveraging AI’s capabilities for data analysis, Machine Learning, and decision-making, manufacturers can achieve significant gains in efficiency, productivity, and product quality. Chapter 2 explores this transformation, detailing the key features of Industry 5.0, human–machine collaboration, sustainability, and advancements like AI. Chapter 3 describes the various emerging applications of AI in the era of Industry 5.0 revolution.
Автор: Payal Bansal, Rajeev Kumar, Ashwani Kumar, Daniel D. Dasig, Jr.
Издательство: CRC Press
Год: 2025
Страниц: 421
Язык: английский
Формат: pdf (true)
Размер: 51.4 MB
The book highlights the role of Artificial Intelligence (AI) in driving innovation, productivity, and efficiency. It further covers applications of Artificial Intelligence for digital marketing in Industry 5.0 and discusses data security and privacy issues in Artificial Intelligence, risk assessments, and identification strategies. We explore the diverse range of AI algorithms that are pushing the boundaries of innovation and discovery, from traditional algorithms like decision trees and support vector machines to state-of-the-art Deep Learning architectures and Reinforcement Learning strategies. Additionally, we highlight new directions and paradigms that are changing the field of AI research and development, such as neuromorphic computing, quantum computing-based algorithms, explainable AI, and Federated Learning. The book presents 24 chapters dealing with the applications areas of Artificial Intelligence (AI) and communication techniques in Industry 5.0. Chapter 1 explores the applications of AI in various aspects of manu facturing, including intelligent automation, predictive maintenance, and quality control. By leveraging AI’s capabilities for data analysis, Machine Learning, and decision-making, manufacturers can achieve significant gains in efficiency, productivity, and product quality. Chapter 2 explores this transformation, detailing the key features of Industry 5.0, human–machine collaboration, sustainability, and advancements like AI. Chapter 3 describes the various emerging applications of AI in the era of Industry 5.0 revolution.