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B01=Deepak Singh
B01=Khalid Raza
B01=Naeem Ahmad
Category1=Non-Fiction
Category=UYQ
Category=UYQL
COP=Singapore
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
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Generative AI: Current Trends and Applications

English

This comprehensive volume focuses on the latest advancements in Generative AI, including state-of-the-art techniques and models that are pushing the boundaries of what is possible. It covers recent developments in areas such as Generative AI models, transfer learning and Natural Language Processing (NLP) highlighting their potential to revolutionize content generation and creative applications including OpenAI, LangChain, NLTK and their practical implementations across diverse domains. The volume provides insights into emerging research areas, novel architectures, and innovative approaches in Generative AI, giving searchers a glimpse into the exciting future of the field. The aim is to offer readers a deep understanding of Generative AI and how it can be harnessed to tackle complex real-world challenges.

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Current price €183.34
Original price €192.99
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Age Group_Uncategorizedautomatic-updateB01=Deepak SinghB01=Khalid RazaB01=Naeem AhmadCategory1=Non-FictionCategory=UYQCategory=UYQLCOP=SingaporeDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 19 Jan 2025

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 19 Jan 2025
  • Publisher: Springer Verlag Singapore
  • Publication City/Country: Singapore
  • Language: English
  • ISBN13: 9789819784592

About

Dr. Khalid Raza is an Associate Professor at the Department of Computer Science Jamia Millia Islamia (Central University) New Delhi India. He also served as ICCR Chair Visiting Professor at the Faculty of Computer and Information Sciences Ain Shams University Egypt. Dr. Raza has over 13 years of teaching and research experience. He has contributed over 140 peer-reviewed research articles. Dr. Raza has authored/edited 10 Books published by reputed publishers like Springer Elsevier and CRC Press. Dr. Raza is an Academic Editor of PeerJ Computer Science Guest Editor of Natural Product Communications and Mini-Reviews in Medicinal Chemistry. He has an active collaboration with the scientists from leading institutions of India and abroad. He is an Honorary Research Fellow of INIT International University Malaysia. Dr. Raza has been featured in the list of Worlds Top 2% Scientists released by Stanford University (USA) in collaboration with Elsevier for the two consecutive years 2021 and 2022. His research interests lie in computational intelligence and applications in computational biology bioinformatics and health-informatics.   Dr. Naeem Ahmad received his Ph.D. in Computer Science from Jamia Millia Islamia (Central University) New Delhi. Dr. Ahmad is currently with the Department of Computer Applications National Institute of Technology (NIT) Raipur Raipur India. Prior to working here he also worked with Department of Computer Applications Madanapalle Institute of Technology and Science Madanapalle India from 2018 to 2021 and School of Network Engineering Jiangxi Ahead Software Vocational and Technical College Nanchang China from 2017 to 2018. He has over 8 years of teaching/research experience in various academic institutions. He has edited several books of international repute and has authored or co-authored more than 30 publications in journals and conferences. He is one of the editorial board members for one of the journals of repute and also serving as reviewers for various journals and conferences. His research interests lie in Deep Learning Wireless Networks Image Processing and Signal Processing and its applications in Healthcare.   Dr. Deepak Singh is an Assistant Professor at the Department of Computer Science and Engineering National Institute of Technology (NIT) Raipur India. He has over 10 years of teaching and research experience in various academic institutes. He has published over 30 research articles in journals and conferences. He has also Edited a book titled Deep Learning Applications in Translational Bioinformatics published by Academic Press Elsevier. Dr. Deepak has also completed several sponsored research projects funded by DSCI DRDO and UNISEF and has 4 patents to his credit. His research interests include evolutionary computation machine learning and data mining.  

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