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Books on the topic 'Generative Artificial Intelligence'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Solanki, Shivam R., and Drupad K. Khublani. Generative Artificial Intelligence. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0403-8.

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2

Kovač, Mitja. Generative Artificial Intelligence. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-65514-2.

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3

Paliszkiewicz, Joanna, Ireneusz Dąbrowski, and Leila Halawi. Trust in Generative Artificial Intelligence. Routledge, 2025. https://doi.org/10.4324/9781003586937.

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4

Elkhodr, Mahmoud, and Ergun Gide. Generative Artificial Intelligence Empowered Learning. Chapman and Hall/CRC, 2025. https://doi.org/10.1201/9781003422433.

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5

Kumar, Rajendra, Shankar Ramamoorthy, Vishal Jain, Utku Köse, and Ong Eng Tek. Generative Artificial Intelligence in Healthcare. CRC Press, 2025. https://doi.org/10.1201/9781003488255.

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6

Fan, Yizhou. Learning with Generative Artificial Intelligence. Routledge, 2025. https://doi.org/10.4324/9781003632146.

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7

Marino, Domenico, and Melchiorre Alberto Monaca, eds. Generative Artificial Intelligence and Fifth Industrial Revolution. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-73880-7.

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8

Vajjhala, Narasimha Rao, Sanjiban Sekhar Roy, Burak Taşcı, and Muhammad Enamul Hoque Chowdhury, eds. Generative Artificial Intelligence (AI) Approaches for Industrial Applications. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-76710-4.

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9

Tu, Yiliu Paul, and Maomao Chi, eds. E-Business. Generative Artificial Intelligence and Management Transformation. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-94187-0.

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10

Tu, Yiliu Paul, and Maomao Chi, eds. E-Business. Generative Artificial Intelligence and Management Transformation. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-94190-0.

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11

Tu, Yiliu Paul, and Maomao Chi, eds. E-Business. Generative Artificial Intelligence and Management Transformation. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-94184-9.

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12

Paliszkiewicz, Joanna, Jerzy Gołuchowski, Magdalena Mądra-Sawicka, and Kuanchin Chen. Building Trust in the Generative Artificial Intelligence Era. Routledge, 2025. https://doi.org/10.4324/9781003586944.

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13

Ali, Hazrat, Mubashir Husain Rehmani, and Zubair Shah, eds. Advances in Deep Generative Models for Medical Artificial Intelligence. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-46341-9.

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14

Jebara, Tony. Machine Learning: Discriminative and Generative. Springer US, 2004.

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15

Niyogi, Partha. The Informational Complexity of Learning: Perspectives on Neural Networks and Generative Grammar. Springer US, 1998.

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16

Andreychikov, Aleksandr, and Ol'ga Andreychikova. Intelligent information systems and artificial intelligence methods. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1009595.

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The textbook discusses the methods of artificial intelligence and their application to solve problems from various subject areas. Methods of acquisition, representation and processing of knowledge in intelligent systems, as well as technologies for designing and implementing intelligent systems, are described. Special attention is paid to the application of intelligent systems for the selection of collective solutions, the design of complex systems( objects), the analysis and forecasting of the enterprise. Meets the requirements of the federal state educational standards of higher education of

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17

Singh, Narinder. An Artificial Intelligence Approach to Test Generation. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1979-5.

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18

Singh, Narinder. An Artificial Intelligence Approach to Test Generation. Springer US, 1987.

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19

Poot, Matthijs, and Daniel Samaan. Rethinking production processes with AI and avoiding the innovator’s dilemma. ILO, 2024. http://dx.doi.org/10.54394/blss4423.

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This brief explores the challenges traditional companies face in fully harnessing the transformative potential of Artificial Intelligence (AI). Drawing parallels with historical shifts like the assembly line, the brief argues that AI adoption requires a holistic rethinking of work processes rather than incremental improvements. It highlights the multi-modal capabilities of Generative AI (GenAI) and underscores the need for further research to better understand its impact on productivity and business operations.

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20

Paris, Cécile L. Natural Language Generation in Artificial Intelligence and Computational Linguistics. Springer US, 1991.

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21

Adorni, Giovanni, and Michael Zock, eds. Trends in Natural Language Generation An Artificial Intelligence Perspective. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-60800-1.

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22

Paris, Cécile L., William R. Swartout, and William C. Mann, eds. Natural Language Generation in Artificial Intelligence and Computational Linguistics. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4757-5945-7.

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23

L, Paris Cecile, Swartout William R, and Mann William C, eds. Natural language generation in artificial intelligence and computational linguistics. Kluwer Academic, 1991.

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24

Wen, Guangrui, Zihao Lei, Xuefeng Chen, and Xin Huang. New Generation Artificial Intelligence-Driven Diagnosis and Maintenance Techniques. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1176-5.

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25

Roy, Provas Kumar, Sunanda Hazra, and Chandan Paul. Next-Generation Artificial Intelligence Driven Smart and Renewable Energy. CRC Press, 2025. https://doi.org/10.1201/9781003628279.

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26

Generative Artificial Intelligence. Washington, DC: World Bank, 2023. http://dx.doi.org/10.1596/39959.

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27

Sahu, Sandipan, and Sudipta Bhattacharya. Generative Artificial Intelligence Through Python. IGI Global, 2024.

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28

Sahu, Sandipan, and Sudipta Bhattacharya. Generative Artificial Intelligence Through Python. IGI Global, 2024.

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29

Leslie, David, and Francesca Rossi. ACM TechBrief: Generative Artificial Intelligence. ACM, 2023. http://dx.doi.org/10.1145/3626110.

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30

Sahu, Sandipan, and Sudipta Bhattacharya. Generative Artificial Intelligence Through Python. IGI Global, 2024.

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31

Sahu, Sandipan, and Sudipta Bhattacharya. Generative Artificial Intelligence Through Python. IGI Global, 2024.

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32

Mohan Kumar, Dr S. Artificial Intelligence: Foundations, Applications, and the Generative Future. Magestic Technology Solutions (P) Ltd, Chennai, Tamil Nadu, India, 2025. https://doi.org/10.47716/978-93-92090-63-9.

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Artificial Intelligence (AI) is no longer confined to laboratories and theoretical models; it is now a driving force behind the digital transformation of society. Artificial Intelligence: Foundations, Applications, and the Generative Future provides an in-depth journey through AI’s essential principles, its wide-ranging applications, and the revolutionary impact of generative technologies. The book methodically builds knowledge from classical AI concepts like intelligent agents, search strategies, and knowledge representation, to advanced learning models including neural networks and machine l

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33

Generative Artificial Intelligence in Finance: Risk Considerations. International Monetary Fund, 2023.

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34

Generative Artificial Intelligence in Finance: Risk Considerations. International Monetary Fund, 2023.

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35

Generative Artificial Intelligence in Finance: Risk Considerations. International Monetary Fund, 2023.

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36

Ahirwar, Kailash. Generative Adversarial Networks Projects: Build Next-Generation Generative Models Using TensorFlow and Keras. Packt Publishing, Limited, 2019.

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37

Generative Artificial Intelligence: What Everyone Needs to Know ®. Oxford University Press, Incorporated, 2024.

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38

Generative Artificial Intelligence: What Everyone Needs to Know ®. Oxford University Press, Incorporated, 2024.

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39

Law, Human Creativity and Generative Artificial Intelligence: Regulatory Options. Routledge, Chapman & Hall, Incorporated, 2024.

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40

Winnick, Alana. Generative Age: Artificial Intelligence and the Future of Education. ConnectEDD, 2023.

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41

Ali, Hazrat. Advances in Deep Generative Models for Medical Artificial Intelligence. Springer, 2023.

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42

First God, Then Man, Now AI: Generative Artificial Intelligence. Malik, Ajay, 2023.

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43

Neural, Adam. Introduction to Artificial Intelligence and Generative AI for Novice: Exploring Artificial Intelligence Systems and Their Applications. Lulu Press, Inc., 2023.

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44

Berov, L. From Narratology to Computational Story Composition and Back: An Exploratory Study in Generative Modeling. IOS Press, Incorporated, 2023.

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45

Berov, L. From Narratology to Computational Story Composition and Back: An Exploratory Study in Generative Modeling. IOS Press, Incorporated, 2023.

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46

Langr, Jakub, and Vladimir Bok. GANs in Action: Deep Learning with Generative Adversarial Networks. Manning Publications Co. LLC, 2019.

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47

GANs in Action: Deep Learning with Generative Adversarial Networks. Manning Publications Company, 2019.

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48

Generative Artificial Intelligence and Ethics: Standards, Guidelines, and Best Practices. IGI Global, 2024.

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49

Towards Artificial General Intelligence: Deep Learning, Neural Networks, Generative AI. de Gruyter GmbH, Walter, 2023.

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50

Generative Artificial Intelligence and Ethics: Standards, Guidelines, and Best Practices. IGI Global, 2024.

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