Book: Artificial Intelligence in Manufacturing: Enabling Intelligent, Flexible, and Cost-Effective Production Through AI
The latest open access book by Springer Nature Group, titled “Artificial Intelligence in Manufacturing”, includes our work as part of the Teaming.AI consortium.
This book, a part of the AI4MANUFACTURING cluster, features 27 chapters from the XMANAI, STAR, Teaming. AI, AI-PROFICIENT, Knowledge, MAS4AI, COALA, and KITT4SME EU projects. It presents a diverse range of innovative solutions for artificial intelligence (AI) in manufacturing.
Specifically, Teaming. AI has contributed to Chapters 4, 5 & 23:
Chapter 4:
Examining the Adoption of Knowledge Graphs in the Manufacturing Industry: A Comprehensive Review
Jorge Martinez-Gil, Thomas Hoch, Mario Pichler, Bernhard Heinzl, Bernhard Moser, Kabul Kurniawan, Elmar Kiesling, and Franz Krause
Chapter 5:
Leveraging Semantic Representations via Knowledge Graph Embeddings
Franz Krause, Kabul Kurniawan, Elmar Kiesling, Jorge Martinez-Gil, Thomas Hoch, Mario Pichler, Bernhard Heinzl, and Bernhard Moser
Chapter 23:
Multi-Stakeholder Perspective on Human-AI Collaboration in Industry 5.0
Thomas Hoch, Jorge Martinez-Gil, Mario Pichler, Agastya Silvina, Bernhard Heinzl, Bernhard Moser, Dimitris Eleftheriou, Hector Diego Estrada-Lugo, and Maria Chiara Leva
