Generative AI and Creativity: From Theory to Practice R Elakkiya 9781032875101

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.

Dr. R. Elakkiya earned a PhD degree from Anna University, India in 2018, and her doctoral research was on sign language recognition. Formerly an assistant professor at the School of Computing, SASTRA University, India, she is an assistant professor at the Department of Computer Science, Birla Institute of Technology & Science, Dubai.

Dr. Subramaniyaswamy is an academician and innovator in Artificial Intelligence, Machine Learning, and Recommender Systems. He is a professor at the School of Computing, SASTRA University, India.