Exploring Generative AI with Computational Intelligence
eBook - ePub

Exploring Generative AI with Computational Intelligence

Navigating the Uncertainty of Creative Machines

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Exploring Generative AI with Computational Intelligence

Navigating the Uncertainty of Creative Machines

About this book

This book demystifies the concept of AI-driven creativity with an in-depth understanding of the underlying principles, algorithms, and applications of generative AI. It begins with a coverage of AI fundamentals, followed by a technical discussion including detailed explanations of model architectures, training processes, and optimisation techniques. It explores case studies showcasing how generative AI is reshaping industries such as entertainment, marketing, design, and healthcare. The book also tackles ethical considerations, addressing issues related to bias, transparency, and responsible AI development.

Features:

  • Provides deep understanding of generative AI, including in-depth coverage of various generative models such as GANs, VAEs, and RNNs.
  • Includes practical, real-world examples of how generative AI is applied in different industries.
  • Dedicates significant attention to ethical considerations.
  • Equips readers with the knowledge and tools to build, train, and deploy their own generative AI systems.
  • Offers thorough explanations of AI algorithms, neural network architectures, and training processes.

This book is aimed at graduate students and researchers in computer engineering, AI and ML.

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Yes, you can access Exploring Generative AI with Computational Intelligence by Seifedine Kadry,Shubham Mahajan,Vishal Jain in PDF and/or ePUB format. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. Preface
  8. About the Editors
  9. List of Contributors
  10. 1 Exploring the Synergies and Challenges of Generative AI Through the Lens of Computational Intelligence
  11. 2 The Evolution of Generative AI: From Rule-Based Systems to Neural Networks
  12. 3 AI-Driven Decision-Making for Sustainable Water Quality Management: A Fuzzy Multi-Criteria Approach to Handling Uncertainty
  13. 4 From Logic to Learning: The Evolution of Generative AI from Rules to Neural Creativity
  14. 5 Generative AI Architectures, Applications, and Future Scopes in Industry
  15. 6 Societal Impact and Cultural Implications
  16. 7 Enhancing Athletic Performance Through Wearable Technology Using Gen AI with Computational Intelligence
  17. 8 Generative AI Techniques and Computational Intelligence Functioning on Text-to-Image/Visual Content Generation
  18. 9 Revolutionizing Multimodal Language Translation: Generative AI Empowered LLM and NLP Solutions for Seamless Voice, Text, and Communication Integration
  19. 10 Can Generative AI Cause Evolution in Animals: An Inspiration Study from the 2024 The Wild Robot Movie
  20. 11 Innovative Solutions to Complex Problems: Leveraging Computational Intelligence Techniques for Driving Advancements in AI
  21. 12 Research Frontiers and Open Challenges
  22. 13 Advancing Training Methodologies for Generative Artificial Intelligence (AI): Optimization Techniques, Challenges, and Future Directions
  23. 14 Exploring Generative Artificial Intelligence for Transformative Healthcare Applications
  24. Index