Inhaltsangabe
The rapid progress of artificial intelligence (AI) technologies has resulted in a complicated landscape for researchers and practitioners. Understanding and navigating the complexities of AI applications, particularly in the context of ChatGPT and its interactions with other AI tools, can be challenging. Researchers and academics need guidance to keep up with these technologies' evolving trends and implications, which leads to gaps in knowledge and implementation strategies. Additionally, the ethical and societal impacts of integrating AI into various domains remain a significant concern, requiring a comprehensive approach to address. Applications, Challenges, and the Future of ChatGPT provide a comprehensive solution to these issues by offering a detailed analysis of the current research trends in AI, focusing on ChatGPT and its interactions with other AI tools. The book delves into how we can effectively utilize ChatGPT and other AI tools to address complex problems by exploring AI applications' collaborative potentials and emerging paradigms. By identifying research gaps and suggesting future directions, this book equips researchers and practitioners with the knowledge and tools necessary to navigate the evolving landscape of AI.
Über die Autorinnen und Autoren
Priyanka Sharma is working as an Assistant Professor in the department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, Rajasthan, India. She has received her B.Tech. degree from Rajasthan Technical University, Kota, Rajasthan India, in 2012 in Information Technology and M.Tech. degree from Rajasthan Technical University, Kota, Rajasthan India, in 2016 in Computer Science. She is pursuing her doctorate from Rajasthan Technical University, Kota, Rajasthan India. She has 11+ years of teaching and academic experience. She has guided various M.Tech. research scholars. She is member of IEEE, ACM and various professional societies. Her Research interests are: Machine Learning, Deep learning, Data Mining.
Monika Jyotiyana received her Ph.D. and Masters’s degrees from the Central University of Rajasthan in 2023 and 2012 respectively. She received her bachelor’s degree from Aryan International College, affiliated to M.D.S. University, in 2010. She was UGC-JRF from July 2015–2017 and UGC-SRF from July 2017–2020 at Central University of Rajasthan. She has teaching experience at various reputed universities, including the Central University of Rajasthan, Lovely Professional University, and Manipal University Jaipur. Her research areas are machine learning, deep learning, artificial intelligence, and image processing. She has published various conference proceedings, journal publications, book chapters, and books. She is on the reviewers' board of reputed journals and various prestigious conferences.
Prof. A.V.Senthil Kumar to his credit he has industrial experience for five years and teaching experience of 27 years. He has also received his Doctor of Science (D.Sc in Computer Science). He has to his credit 33 Book Chapters, 220 papers in International and National Journals 60 papers in International Conferences in International and National Conferences, and edited 12 books (IGI Global, USA). He is as Associate Editor of IEEE Access. He is an Editor-in-Chief for many journals and Key Member for India, Machine Intelligence Research Lab (MIR Labs). He is an Editorial Board Member and Reviewer for various International Journals. He is also a Committee member for various International Conferences. He is a Life member of International Association of Engineers (IAENG), Systems Society of India (SSI), member of The Indian Science Congress Association, member of Internet Society (ISOC), International Association of Computer Science and Information Technology (IACSIT), Indian Association for Research in Computing Science (IARCS), and committee member for various International Conferences.
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