國立虎尾科技大學 |

Integration of AI, quantum computing, and semiconductor technology

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Integration of AI, quantum computing, and semiconductor technology/ Brojo Kishore Mishra.
remainder title:	Integration of artificial intelligence, quantum computing, and semiconductor technology
Author:	Mishra, Brojo Kishore.
Published:	Hershey, Pennsylvania :IGI Global, : 2025.,
Description:	1 online resource (534 p.)
Subject:	Artificial intelligence - Industrial applications. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-7076-6
ISBN:	9798369370780

Integration of AI, quantum computing, and semiconductor technology
Mishra, Brojo Kishore.

Integration of AI, quantum computing, and semiconductor technology[electronic resource] /Integration of artificial intelligence, quantum computing, and semiconductor technologyBrojo Kishore Mishra. - Hershey, Pennsylvania :IGI Global,2025. - 1 online resource (534 p.) - Advances in mechatronics and mechanical engineering (AMME) book series. - Advances in mechatronics and mechanical engineering (AMME) book series..

Includes bibliographical references and index.

Preface -- Chapter 1. Fundamentals of AI, Quantum Computing, and Semiconductor Technology -- Chapter 2. Integration of AI and Quantum Computing in Cyber Security -- Chapter 3. Quantum Machine Learning, Leveraging AI, and Semiconductor Technology -- Chapter 4. Quantum-Inspired Algorithms for AI and Machine Learning -- Chapter 5. Semiconductor Innovations in Quantum Computing -- Chapter 6. Semiconductor Technologies for Quantum Computing Hardware -- Chapter 7. Unraveling the Quantum Computing Frontier: Advancements, Challenges, and Future Prospects -- Chapter 8. Applications of Quantum Artificial Intelligence: A Systematic Review -- Chapter 9. Challenges and Future Prospects of Integrating Quantum Computing Into Intelligent Transportation Systems: Exploring Quantum Innovations in Transportation -- Chapter 10. Collaborative Approaches to Navigating Complex Challenges and Adapting to a Dynamically Changing World -- Chapter 11. Efficient Energy Management Using Fog-Based Framework in the Healthcare Industry -- Chapter 12. Pre-Quantum to Post-Quantum Cryptography Transition: A Journey Connecting the Security and Challenges Eras -- Chapter 13. Evolving Cybersecurity Perspectives With AI and Quantum Advances -- Chapter 14. Integration of AI and Quantum Computing in Cybersecurity: A Comprehensive Review -- Chapter 15. Intelligent Systems in Healthcare Monitoring -- Chapter 16. Fundamentals of Semiconductor and Future Aspects -- Chapter 17. Preserving Nature's Balance in the Intelligent Systems Era: Exploring Ecological Systems and Biodiversity -- Chapter 18. Smart Healthcare Innovations Using Intelligent Systems in Industry 4.0 -- Chapter 19. Potential of AI, Quantum Computing, and Semiconductor Technology Adoption in Future Industries: Scope, Challenges, and Opportunities -- Chapter 20. Optimizing Urban Intelligence: A Comprehensive Study on IoT With Edge Computing in Smart Cities -- Compilation of References -- About the Contributors -- Index.

"The integration of artificial intelligence (AI), quantum computing, and semiconductor technology offers improved innovation to redefine computational power and capabilities. As AI drives advances in machine learning and data processing, quantum computing revolutionizes problem-solving with its ability to handle complex calculations at improved speeds. Advancements in semiconductor technology push the limits of processing efficiency and miniaturization. Continued exploration on this convergence may accelerate breakthroughs in various fields such as cryptography, material science, and healthcare. Integration of AI, Quantum Computing, and Semiconductor Technology explores the intersection of artificial intelligence (AI) and semiconductor technology within the context of quantum computing. It offers a comprehensive analysis of the current advancements, challenges, and potential applications resulting from this convergence. This book covers topics such as cyber security, healthcare monitoring, and machine learning, and is a useful resource for computer engineers, energy scientists, business owners, healthcare administrators, environmental scientists, academicians, and researchers."--

Mode of access: World Wide Web.

ISBN: 9798369370780Subjects--Topical Terms:

796380
Artificial intelligence
--Industrial applications.Subjects--Index Terms:

Artificial Intelligence.Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: TA347.A78 / I535 2025eb

Dewey Class. No.: 621.3815/2028563

Integration of AI, quantum computing, and semiconductor technology
LDR:04862nam a2200469 a 4500 001 1168716
006 m o d
007 cr nn |||muauu
008 251230s2025 pau ob 001 0 eng d
020 $a 9798369370780 $q (ebook)
020 $z 9798369370766 $q (hardback)
020 $z 9798369370773 $q (paperback)
035 $a (CaBNVSL)slc00007079
035 $a (OCoLC)1473359573
035 $a 00346968
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
041 0 $a eng
050 0 0 $a TA347.A78 $b I535 2025eb
082 0 0 $a 621.3815/2028563 $2 23/eng/20250612
100 1 $a Mishra, Brojo Kishore. $e editor. $3 1360703
245 1 0 $a Integration of AI, quantum computing, and semiconductor technology $h [electronic resource] / $c Brojo Kishore Mishra.
246 3 $a Integration of artificial intelligence, quantum computing, and semiconductor technology
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2025.
300 $a 1 online resource (534 p.)
490 1 $a Advances in mechatronics and mechanical engineering (AMME) book series
504 $a Includes bibliographical references and index.
505 0 $a Preface -- Chapter 1. Fundamentals of AI, Quantum Computing, and Semiconductor Technology -- Chapter 2. Integration of AI and Quantum Computing in Cyber Security -- Chapter 3. Quantum Machine Learning, Leveraging AI, and Semiconductor Technology -- Chapter 4. Quantum-Inspired Algorithms for AI and Machine Learning -- Chapter 5. Semiconductor Innovations in Quantum Computing -- Chapter 6. Semiconductor Technologies for Quantum Computing Hardware -- Chapter 7. Unraveling the Quantum Computing Frontier: Advancements, Challenges, and Future Prospects -- Chapter 8. Applications of Quantum Artificial Intelligence: A Systematic Review -- Chapter 9. Challenges and Future Prospects of Integrating Quantum Computing Into Intelligent Transportation Systems: Exploring Quantum Innovations in Transportation -- Chapter 10. Collaborative Approaches to Navigating Complex Challenges and Adapting to a Dynamically Changing World -- Chapter 11. Efficient Energy Management Using Fog-Based Framework in the Healthcare Industry -- Chapter 12. Pre-Quantum to Post-Quantum Cryptography Transition: A Journey Connecting the Security and Challenges Eras -- Chapter 13. Evolving Cybersecurity Perspectives With AI and Quantum Advances -- Chapter 14. Integration of AI and Quantum Computing in Cybersecurity: A Comprehensive Review -- Chapter 15. Intelligent Systems in Healthcare Monitoring -- Chapter 16. Fundamentals of Semiconductor and Future Aspects -- Chapter 17. Preserving Nature's Balance in the Intelligent Systems Era: Exploring Ecological Systems and Biodiversity -- Chapter 18. Smart Healthcare Innovations Using Intelligent Systems in Industry 4.0 -- Chapter 19. Potential of AI, Quantum Computing, and Semiconductor Technology Adoption in Future Industries: Scope, Challenges, and Opportunities -- Chapter 20. Optimizing Urban Intelligence: A Comprehensive Study on IoT With Edge Computing in Smart Cities -- Compilation of References -- About the Contributors -- Index.
520 3 $a "The integration of artificial intelligence (AI), quantum computing, and semiconductor technology offers improved innovation to redefine computational power and capabilities. As AI drives advances in machine learning and data processing, quantum computing revolutionizes problem-solving with its ability to handle complex calculations at improved speeds. Advancements in semiconductor technology push the limits of processing efficiency and miniaturization. Continued exploration on this convergence may accelerate breakthroughs in various fields such as cryptography, material science, and healthcare. Integration of AI, Quantum Computing, and Semiconductor Technology explores the intersection of artificial intelligence (AI) and semiconductor technology within the context of quantum computing. It offers a comprehensive analysis of the current advancements, challenges, and potential applications resulting from this convergence. This book covers topics such as cyber security, healthcare monitoring, and machine learning, and is a useful resource for computer engineers, energy scientists, business owners, healthcare administrators, environmental scientists, academicians, and researchers."-- $c Provided by publisher.
538 $a Mode of access: World Wide Web.
650 0 $a Artificial intelligence $x Industrial applications. $3 796380
650 0 $a Quantum computing. $3 1070322
650 0 $a Semiconductors. $3 578843
653 $a Artificial Intelligence.
653 $a Biodiversity.
653 $a Computer Algorithms.
653 $a Cryptography.
653 $a Cyber Security.
653 $a Ecology.
653 $a Energy Management.
653 $a Healthcare Administration.
653 $a Healthcare Monitoring.
653 $a Machine Learning.
653 $a Quantum Computing.
653 $a Semiconductor Technology.
653 $a Smart Cities.
655 4 $a Electronic books. $2 local $3 554714
710 2 $a IGI Global. $3 805187
776 0 8 $i Print version: $z 9798369370766
830 0 $a Advances in mechatronics and mechanical engineering (AMME) book series. $3 1340893
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-7076-6