Open AI and Computational Intelligence for Society 5.0

Open AI and Computational Intelligence for Society 5.0

Pages: 300
DOI: 10.4018/979-8-3693-4326-5
ISBN13: 9798369343265|ISBN13 Softcover: 9798369351840|EISBN13: 9798369343272
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Description & Coverage
Description:

Computational Intelligence (CI) is the theory, design, application and development of biologically and linguistically motivated computational paradigms. The book titled as "Open AI and Computational Intelligence: The next generation of intelligent machines for Society 5.0" is concerned with the creation of intelligent machines that are capable of carrying out difficult activities and solving issues of society.

The terms "Open AI and Computationa

l Intelligence" refer to a machine's capacity for functions like perception, reasoning, learning, and decision-making that ordinarily need human intelligence. Creating algorithms and models that enable machines to learn from data and experience is the focus of the branch of artificial intelligence known as computational intelligence. The use of open-source software and tools in the development of artificial intelligence systems, allows for greater collaboration and innovation in the field. Computational Intelligence being a subfield of artificial intelligence focuses on the development of algorithms and models that can simulate human intelligence, such as neural networks and fuzzy logic systems.

The phrase "Society 5.0" describes a future society in which people and technology live in harmony and where technology is used to improve quality of life and address societal challenges. This book seeks to depict intelligent systems that can collaborate with people to increase our capacity for problem-solving and elevate our standard of living. This is consistent with the idea of "Society 5.0," a hypothetical future civilization that emphasizes the fusion of cutting-edge social systems with technological infrastructure in order to achieve sustainable development and prosperity. This book will intend to discuss the research work to build a more sustainable and affluent society by advancing the development of intelligent machines through the application of advanced computational intelligence techniques and open-source software. Deep learning and reinforcement learning along with other learning methods in particular are expected to experience tremendous growth since they hold great potential for creating highly developed AI systems that can learn and adapt on their own. This book will try to present the future trends (in terms of research and innovations) of OpenAI and computational intelligence, and the benefits in the years to come for society.

Impact and value: IoT, IIoT and IoMT have become an integral component to address the needs of various aspects in today’s society, however these devices without intelligence will limit the benefits that they provide. The Integration of Intelligence for societal needs can span from medical, education and beyond. The proposed volume can thus be projected as a handbook on various aspects of Open AI and Computational Intelligence (CI) that shall render intelligence to machines for society 5.0. The attached/appended TOC (but not limited) aims to envisage the concepts, technology and frameworks in the given scope of the volume.

• Terms "Open AI and Computational Intelligence" refer to a machine's capacity for functions like perception, reasoning, learning, and decision-making that ordinarily need human intelligence is hugely influencing human life and has become very significant. • "Society 5.0" describes a future society in which people and technology live in harmony and where technology is used to improve quality of life and address societal challenges. • The book will thus integrate various disruptive technologies and frameworks that can render intelligence to devices and support society 5.0 positively.

The primary audience The target audience will be Scientists/Design engineers/System Integrators/researchers in the field of IOT, Bigdata, AI/ML, Physical layer architects, cloud architects, city planners and the government agencies, besides that post graduate students like – M.Tech., MSc in computer science, M.Phil. will use this book for their research activities. The Book may be proposed as reference title in the academic institutions where similar course are conducted.

Secondary Audience: • University libraries. (Curriculum adoption) • Students: PG and UG (as text books of AI/ML domains) • Researchers (problem statement for future research) • Academicians. Start UP/Industry/Entrepreneurs, (reference manuals).
Coverage:
Coverage forthcoming
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Editor/Author Biographies
Rajiv Pandey Senior is a member of the IEEE and is a Faculty at Amity Institute of Information Technology, Amity University, Uttar Pradesh, Lucknow Campus India. He possesses a diverse back ground experience of around 30 years to include 15 years of Industry and 13 years of academic. His research interests include the contemporary technologies as Semantic Web Provenance, Cloud and Big Data, and Data Analytics. He has published more than 30 research papers in Scopus, and other science indexed journals of repute. He has been Session chairs, Technical committee member for various IEEE and Elsevier conferenceHe has been on technical committees of various government and private universities. He is intellectually involved in supervising Doctorate Research Scholars and Post graduate Students. He is also an active contributor in professional bodies like IEEE, IET and Lucknow Management Association. He is also a member of Machine Intelligence Research Labs.

Dr. Nidhi Srivastava is an accomplished academician and researcher, currently serving as an Assistant Professor at the Amity Institute of Information & Technology, Amity University, Lucknow. With over a decade of experience she has been a dedicated educator, previously working as a Lecturer at the Institute of Environment and Management (IEM), Anwari, from February 1, 2005, to April 30, 2007. Dr. Srivastava has made significant contributions to the field of information technology, particularly in areas such as cloud computing, biometric authentication, speech recognition, and e-governance. Her impressive publication record includes papers like "NoSQL - A Solution for Handling Big Data" and "An Agent-Based Multimodal Biometric Method for Secure Systems." As an active researcher, she has presented and published papers in various conferences and journals, exploring topics such as big data analytics, machine learning techniques, and anomaly detection in network traffic. Dr. Srivastava has demonstrated leadership by serving as a Program Leader for B.Sc.(IT), participating in various committees, and organizing workshops and conferences. She is also a respected editor and contributor.

Rajesh Prasad is working as Professor (CSE) and Associate Dean (Engineering) at MIT Art, Design, and Technology University, Pune. He has more than 26 years of academic and research experience. He is an active senior member of IEEE and a chartered engineer from IE. He is instrumental in developing the curriculum and contents. He is associated with several universities in different roles. He is Ph.D. in Computer Engineering. 07 research scholars have been awarded Ph.D. under his guidance. He has published more than 90 papers in international and national journals, with 01 international patent (grant), 04 patents (published), and 11 copyrights to his credit. His area of interest is in Text and Data Analysis, Speech Processing, etc. He has authored 10+ books and book chapters. He has been associated with industries for research collaborations. He is an active member of various professional societies (ISTE, IEEE, CSI, etc.). His biography was published by Marquis Publication USA in Sept 2009. He has served as Research Review committee members in renowned universities like Symbiosis International University, Savitribai Phule Pune University, Bharath University etc. He has reviewed and examined more than 10 PhD thesis and many MTech thesis. He is also reviewer and technical committee member of various journals and conferences.
Jayashree Rajesh Prasad is Professor at Department of Computer Science & Engineering at School of Computing, at MIT ADT University Pune with 27 years of teaching experience. She has published 6 textbooks, 90+ papers in International Journals and Conference Proceedings. She has filed and published 6 patents and 13 copyrights. She is leading as AI and ML expert in International Collaborative Research with Oxford University and has been amongst top 10 % Author in Elsevier Social Science Research Network (SSRN). She is recipient of Young Teacher Professional Travel Grant, associated with TDIL and CSIR- National Institute of Science Technology and Development Studies (NISTADS), Government of India.
Manuel B. Garcia is a professor of information technology and the founding director of the Educational Innovation and Technology Hub (EdITH) at FEU Institute of Technology, Manila, Philippines. He is a graduate of Doctor of Information Technology from the University of the East and is presently a student of Doctor of Philosophy in Education at the University of the Philippines. His interdisciplinary research interest includes topics that, individually or collectively, cover the disciplines of education and information technology. He is a licensed professional teacher and a proud member of the National Research Council of the Philippines – an attached agency to the country’s Department of Science and Technology (DOST-NRCP).
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