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| Titre : |
Artificial Intelligence in Manufacturing |
| Autre titre : |
Enabling Intelligent, Flexible and Cost-Effective Production Through AI |
| Type de document : |
document électronique |
| Auteurs : |
John Soldatos, Auteur |
| Editeur : |
Berlin [Allemagne] : Springer Nature |
| Année de publication : |
2024 |
| Importance : |
505 p. |
| Présentation : |
ill. |
| ISBN/ISSN/EAN : |
978-3-031-46452-2 |
| Langues : |
Anglais (eng) |
| Catégories : |
Open Access Publications
|
| Tags : |
Communications Engineering Networks Artificial Intelligence Big Data, Professional Computing Information Technology IT Cloud Computing |
| Index. décimale : |
006.3 Intelligence artificielle |
| Résumé : |
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.
|
| En ligne : |
https://doi.org/10.1007/978-3-031-46452-2 |
Artificial Intelligence in Manufacturing ; Enabling Intelligent, Flexible and Cost-Effective Production Through AI [document électronique] / John Soldatos, Auteur . - Berlin (Allemagne) : Springer Nature, 2024 . - 505 p. : ill. ISBN : 978-3-031-46452-2 Langues : Anglais ( eng)
| Catégories : |
Open Access Publications
|
| Tags : |
Communications Engineering Networks Artificial Intelligence Big Data, Professional Computing Information Technology IT Cloud Computing |
| Index. décimale : |
006.3 Intelligence artificielle |
| Résumé : |
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.
|
| En ligne : |
https://doi.org/10.1007/978-3-031-46452-2 |
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Artificial Intelligence in Manufacturing
