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AI has been in the media and the public space recently, generating unprecedented interest within society. Emerging AI refers to the latest advances and trends in the field of artificial intelligence. It encompasses the development of new techniques, algorithms, and applications that push the boundaries of what AI is achieving.
'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.
Haruna Chiroma received Ph.D. in Artificial Intelligence from University of Malaya. He received B.Tech. & M.Sc. in computer science from Abubakar Tafawa Balewa University and Bayero University respectively. He is ranked in the Top 2% most influential scientists by Stanford University. He is an academic editor Computational and Mathematical Methods in Medicine, associate editor for IEEE Access 2018 - 2021. Editorial board member - IAES International Journal of Artificial Intelligence, (Scopus Indexed), Associate Editor - TELKOMNIKA, Indonesia - (Scopus Indexed), Editorial board member - Recent advances in Computer Science and Communications, (Scopus Indexed). Guest editor of 3 special issues in ISI/Scopus indexed journals. Editor of 3 Edited Books by Springer Berlin Heidelberg and one co-authored book to be published by IOP Publishing. His research interest includes: Artificial neural networks, machine learning, deep learning, nature inspired algorithms, robotics, NLP and IoT. He has published over 140 academic articles relevant to his research interest in ISI WoS/Scopus indexed journals including but not limited to Neural Network World, Artificial Intelligence Review (Springer), Applied Soft Computing (Elsevier), Neural Computing and Applications (Springer), Expert systems with applications (Elsevier), Intelligent automation and soft computing - (Taylors & Francis), Supercomputing (Springer). He is an invited reviewer for over 60 ISI WoS/Scopus indexed journals such as IEEE Transactions on Neural Networks and Learning Systems, Artificial Intelligence Review (Springer), Applied Soft Computing (Elsevier), Expert Systems with Applications (Elsevier), Knowledge-Based System (Elsevier), Soft Computing (Springer), International Journal of Bioinspired Computation (Interscience), Neural Computing and Applications (Springer), etc. He has been a technical programme committee member for more than 30 international conferences.
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
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