Overview
- Highlights the ability of cognitive computing in transforming businesses, governments, and society
- Presents systems that can learn extensively, with purpose, and interact with humans
- Discusses how the combination of data analysis of machines can exploit cognitive understanding
Part of the book series: Advanced Technologies and Societal Change (ATSC)
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Table of contents (13 chapters)
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Front Matter
Keywords
About this book
Editors and Affiliations
About the editors
Mohammed Usman received his Ph.D. from University of Strathclyde, UK. He has more than a decade of experience in academics and academic administration. He is a senior member of IEEE and IEEE Communications Society. He has been the TPC chair and the organizing chair for IEEE conferences and actively involved in IEEE activities. He is currently working as an assistant professor in the department of Electrical Engineering at King Khalid University, Saudi Arabia. He received the academic excellence award from the College of Engineering at King Khalid University and also received the award for best project in 2016. A senior design project under his supervision received the talent and innovation award in 2018. His research is focused on technologies for next-generation wireless networks, signal processing for biomedical application, probabilistic modelling, and channel coding.
Xiao-Zhi Gao received his B.Sc. and M.Sc. degrees from the Harbin Institute of Technology, China, in 1993 and 1996, respectively. He obtained his D.Sc. (Tech.) degree from the Helsinki University of Technology (now Aalto University), Finland, in 1999. He has been working as a professor at the University of Eastern Finland, Finland, since 2018. He is also a guest professor at the Harbin Institute of Technology, Beijing Normal University, and Shanghai Maritime University, China. Prof. Gao has published more than 400 technical papers in refereed journals and international conferences. His research interests are nature-inspired computing methods with their applications in optimization, data mining, machine learning, control, signal processing, and industrial electronics.
Bibliographic Information
Book Title: Embracing Machines and Humanity Through Cognitive Computing and IoT
Editors: Mohammed Usman, Xiao-Zhi Gao
Series Title: Advanced Technologies and Societal Change
DOI: https://doi.org/10.1007/978-981-19-4522-9
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Hardcover ISBN: 978-981-19-4521-2Published: 02 March 2023
Softcover ISBN: 978-981-19-4524-3Published: 03 March 2024
eBook ISBN: 978-981-19-4522-9Published: 01 March 2023
Series ISSN: 2191-6853
Series E-ISSN: 2191-6861
Edition Number: 1
Number of Pages: X, 130
Number of Illustrations: 18 b/w illustrations, 53 illustrations in colour
Topics: Computational Intelligence, User Interfaces and Human Computer Interaction, Mathematical Models of Cognitive Processes and Neural Networks, Cyber-physical systems, IoT, Professional Computing, Artificial Intelligence