The book 'Disruptive Creativity and Generative AI' explores the profound impact of generative artificial intelligence (AI) in reshaping creativity across various domains, from science and technology to education and the arts. Through detailed case studies and theoretical analysis, the book highlights how generative AI acts as a tool and a collaborator, enabling groundbreaking innovations that challenge traditional boundaries. It focuses on the relationship between human creativity and AI, emphasizing AI's role in enhancing productivity and innovation by offering novel solutions and expanding possibilities. This exploration extends to critical areas such as scientific research, medical imaging, language learning, and cybersecurity, offering a comprehensive view of how AI fosters disruptive creativity that transcends conventional methodologies. This transformative work invites readers to rethink the nature of creativity in the age of AI, offering insights that will shape the future of innovation across industries.
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Produktdetaljer

ISBN
9781036415372
Publisert
2024-12-01
Utgiver
Vendor
Cambridge Scholars Publishing
Høyde
212 mm
Bredde
148 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
262

Biographical note

Robertas Damaševičius currently serves as a Professor at the Department of Applied Informatics at Vytautas Magnus University, Lithuania, and as the Director of the Centre of Real-Time Computer Systems at Kaunas University of Technology (KTU), Lithuania, where he has been a faculty member since 2002. Professor Damaševičius has published extensively on the application of AI in fields like science, technology, and education. He also serves as an editor for several prestigious journals, including Information Technology and Control and International Journal of Imaging Systems and Technology. He is also a recognized keynote speaker at international conferences, with notable appearances in China, India, and Malta. His work continues to push the boundaries of AI, with a focus on how machine learning, deep learning, and generative models can drive innovation and creativity in diverse industries.