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‘Emerging Artificial Intelligence: Integrating Theories and Practice’ is specifically tailored for researchers in AI who are eager to delve into the latest developments and explore the integration of theoretical concepts with practical applications. This book is an essential guide for researchers in AI seeking to bridge the gap between theory and practice. Embark on a transformative journey through the latest advancements in AI and gain a comprehensive understanding of their real-world applications. After reading the book, the reader will be able to clearly understand the industrial applications of each emerging AI domain and appreciate the operations of AI in industry as well as society in general.
Key Features:
- Case studies within the text and summaries at the end of each chapter
- Emerging field of artificial intelligence at a glance.
- Industrial applications of the emerging artificial intelligence field.
- Showing connection between theories and practical applications of the emerging artificial intelligence.
- Present concise summary of the different aspect of artificial intelligence from origin to current times in one spot
Foreword
Acknowledgments
Author biography
1 Artificial intelligence history from the abacus through science fiction movies and artificial intelligence winter,to 2025 and beyond
2 Generative artificial intelligence: gateway and recent progress
3 Artificial general intelligence and beyond: large language models tutorial, debates, hypothesis and future outlook
4 Proposed artificial intelligence enhanced development and operations—DevOps lifecycle
5 Centralized huge graph neural networks advances
6 Brain–machine interface for autonomous robots control with feedback from augmented reality and its relevance to industry 4.0 and 5.0
7 Recent developments in artificial intelligence and highperformance computing
8 Explainable artificial intelligence tailored to emerging concepts linking human acceptability
9 Bibliometric analysis on artificial intelligence for over six decades and proposed bibliometric study procedure for artificial intelligence domain