Juneja / Dhanaraj / Sathyamoorthy | AI Augmented Creativity | Buch | 978-1-032-82949-4 | www.sack.de

Buch, Englisch, 384 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g

Juneja / Dhanaraj / Sathyamoorthy

AI Augmented Creativity

Trends, Challanges and Applications
1. Auflage 2027
ISBN: 978-1-032-82949-4
Verlag: Taylor & Francis

Trends, Challanges and Applications

Buch, Englisch, 384 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g

ISBN: 978-1-032-82949-4
Verlag: Taylor & Francis


Standard Blub: This book investigates the most recent advances in AI-augmented creativity by examining how machine learning, neural networks, and natural language processing can operate in tandem with human imagination. It shows how AI provides unparalleled assistance in developing new ideas, optimising design operations, and suggesting artistic routes. Challenges like Authorship, lack of personal touch, and ethical challenges have been discussed in various cretive context. The book delves deeply into these issues, providing readers with a complete understanding of the complexity inherent in introducing AI into the creative industry with various case studies and testing of real-life applications. • Introducing various AI-augmented creativity approaches and challenges associated with it. • Explaining AI applications and potential applications in various sectors for augmented creativity technologies like education, research etc. • Discussed existing transformative applications from creating visual art to helping with musical composition, from co-writing stories to improving user experience in interactive media • Highlights the potential for AI-augmented creativity to transcend established boundaries and generate new ones through actual examples. • Explores issues and solutions of the security standard in AI-augmented intelligence utilisation This reference book will be useful for scholars and researchers who are interested in emerging aspects of AI and the impact of creative endeavours of AI.

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Weitere Infos & Material


1. Artificial intelligence and Augmented intelligence: An Introduction 2. Architecture, Components and tools in Integrated AI- Augmented Intelligence: A design perspective 3. Architecture, Components, and Tools In Integrated Ai-Augmented Intelligence: A Design Perspective 4.Importance of Artificial Intelligence and Innovation and in the Contemporary World 5. Role of AI Augmented Intelligence in Creative Processes: Pros and Cons 6. Recent Trends Tools and Challenges in AI-Augmented Intelligence 7.The Impact of AI-Augmented Intelligence on User Engagement in Virtual Reality and Interactive Media 8. Recent Trends, Tools and Challenges In Ai-Augmented Intelligence: Usages In Career Achievement Among Gen Z For Professional Growth 9. AI and Human Loop: A Roadmap from Artificial Intelligence to Augmented Intelligence 10. Ethical considerations of AI-Augmented Intelligence: Trade-off between creativity and human responsibility 11.Integrated AI-Augmented Intelligence: Bridging the Gap Between Real and Virtual Worlds 12.Enhancing Learning through Artificial Intelligence’s Personalised Experiences in Higher Education Institutions 13. An Empirical Study on AI-Augmented Early Brain Tumour Detection Using Pre-Processing Techniques - A Case Study 14. Exploring the Evolving Prospects of AI Augmented Intelligence in Healthcare: Trends and Challenges 15. Case study on navigating the course of augmented reality marketing 16. Case Study on Redefining Banking: Harnessing Augmented Intelligence and Innovation for Sustainable Growth


Dr. Sapna Juneja received the master’s and Ph.D. degrees in computer science and engineering from M.D. University, Rohtak, in 2018 and 2010, respectively. She is currently working as a Professor and Associate Dean (R & D) with the Department of CSE (AI) KIET Group of Institutions, Ghaziabad, India. She has more than 17 years of teaching experience. Her topic of research is Software Reliability of Embedded System. She has published six patents. She has published various research articles in renowned national and international journals.

Dr Rajesh Kumar Dhanaraj is a distinguished Professor at Symbiosis International (Deemed University) in Pune, India. Before joining Symbiosis International University, he served as a Professor at the School of Computing Science and Engineering at Galgotias University in Greater Noida, India. His academic and research achievements have earned him a place among the top 2% of scientists globally. He earned his B.E. degree in Computer Science and Engineering from Anna University Chennai, India, in 2007. Subsequently, he obtained his M.Tech degree from Anna University Coimbatore, India, in 2010 and earned a Ph.D. in Computer Science from Anna University, Chennai, India, in 2017. He has authored and edited over 50 books and holds 21 patents. Furthermore, he has contributed over 100 articles and papers to esteemed refereed journals and international conferences.

Dr Malathy Sathyamoorthy is an Assistant professor in the Department of Information Technology, KPR Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India. She received her M.E degree in Computer Science and Engineering from Anna University, India in 2012. She completed Ph.D. degree in Information and Communication Engineering from Anna University, Chennai, India, in 2023. She is a life member of the Indian Society for Technical Education (ISTE) and the International Association of Engineers (IAENG). Published more than 25 Research Papers in various High-Quality SCI Impact Factor Journals cum Scopus/ESCI indexed Journals, 22 Papers in International Conferences indexed with Springer and IEEE Xplore, 2 patents, 1 book and 8 Book Chapters in various publication houses.

Dr Vinayakumar Ravi received a PhD degree in computer science from Computational Engineering & Networking, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India. He is currently an Assistant Research Professor at the Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia. Prior to that, he was a Postdoctoral research fellow in developing and implementing novel computational and machine learning algorithms and applications for big data integration and data mining with Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. He received an MCA from Amrita Vishwa Vidyapeetham, Mysore, in 2014 and a BCA from JSS College of Arts, Commerce and Sciences, Ooty Road, Mysore, in 2011.



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