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Full Description
Generative AI and Creativity: From Theory to Practice is an immersive exploration into the revolutionary domain of Generative Artificial Intelligence. It takes a step-by-step journey starting with the fundamentals of Generative AI and progressing to advanced applications. The book unravels the complexities of generative models, delving into key techniques such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders), providing a solid foundation for readers to understand the underlying principles. The book:
Explores the collaboration between humans and AI in creative processes
Examines generative art movements, graphic design applications, and artist-AI collaborations.
Defines creativity in AI, by showcasing case studies and discussing ethical considerations
Moving beyond theory, this book offers hands-on insights into real-world applications of Generative AI. From creative content generation in art and music to practical implementations in industries like healthcare and finance, the book showcases the versatility and transformative potential of Generative AI across diverse domains. Readers will gain practical skills through coding examples, case studies, and collaborative projects, empowering them to integrate Generative AI into their own work.
The book is enriched with stories of innovation, featuring pioneers who have leveraged Generative AI to push the boundaries of creativity. Ethical considerations and the societal impact of Generative AI are also explored to foster a holistic understanding of the technology.
Contents
1. Generative AI and Creativity: An Overview 2. Understanding Creativity Using Generative AI: An In-Depth Analysis 3. Harmonizing Tradition and Innovation: Computational Strategies for Preserving Thanjavur Paintings from Generative AI 4. Creation and Analysis of Sculptures Using the Principles of Generative AI 5. An Automated Image Style Transfer Framework Using Gen AI Algorithm 6. Human-AI Collaboration with Decision Control and Adaptive Trust for Enhancing User Perceptions 7. Applications of Generative AI in Gaming and Virtual Environments 8. EffiTrans BCC: Designing a Generative AI Framework for Accurate Basal Cell Carcinoma Image Classification Using EfficientNet and Transfer Learning 9. Generative AI-Driven Music Genre Classification: Unlocking Creativity and Innovation in Automated Audio Analysis 10. Image-Based Analysis of Parkinson's Disease Using Generative Artificial Intelligence Algorithms 11. Harnessing Generative AI Tools and Techniques: Beyond Algorithms for a Smarter Future 12. An Exploration of Generative AI (GAI) Frameworks and Tools for Generation of Multi-Perspective Contents 13. Comprehensive Understanding of Evaluating and Testing Generative Models 14. Metrics, Tools & Challenges for Assessing Generative Models 15. Rise of Generative AI: Exploring Its Impact on Creative Industries 16. Impact of Commercial Applications on GenAI with Its Evolving Landscape 17. AI in Academic Environments: A Study of Perspectives and Practices 18. Generative AI: A Personalized and Ubiquitous Tutor 19. Integration of Generative AI: An Advent of Educational 4.0 20. Generative AI: Challenges and Future Directions 21. Comparative Analysis of Transformer Models for Stack Overflow Question Quality Classification
