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Revolutionizing AI with brain-inspired technology = neuromorphic computing /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Revolutionizing AI with brain-inspired technology/ Umesh Kumar Lilhore, Yogesh Kumar Sharma, Sarita Simaiya, Sandeep Kumar, Munish Kumar, editors.
Reminder of title:	neuromorphic computing /
remainder title:	Revolutionizing artificial intelligence with brain-inspired technology
other author:	Kumar, Munish,
Published:	Hershey, Pennsylvania :IGI Global Scientific Publishing, : 2025.,
Description:	1 online resource (564 p.)
[NT 15003449]:	Preface -- Chapter 1. Introduction to Neuromorphic Computing -- Chapter 2. Neuromorphic Computing on FPGA for Image Classification Using QNN (Quantized Neural Network) -- Chapter 3. A Systematic Review of Spiking Neural Networks andTheir Applications -- Chapter 4. Neurogenesis of Intelligence Principles of Brain-Inspired Computing -- Chapter 5. Unveiling the Power of Neuromorphic Computing: An Introductory Overview -- Chapter 6. A Review of GAN-Synthesized Brain MR Image Applications -- Chapter 7. An NLP Approach to Enrich Biomedical Research Through Sentiment Analysis of Patient Feedback -- Chapter 8. Learning Mechanisms in Neuromorphic Computing: Principles, Implementations, and Applications -- Chapter 9. Enhancing Assistive Technologies With Neuromorphic Computing -- Chapter 10. Integrating Neuromorphic Designs in Two-Wheeled Self-Balancing Robots: Current Status and Future Perspectives - A Critical Study -- Chapter 11. Classificationof Moderate and Advanced Dementia Patients Using Gradient Boosting Machine Technique: Classification of Moderate and Advanced Dementia Patients -- Chapter 12. Neuromorphic Advancements: Revolutionizing Healthcare Using Images Through Intelligent Computing -- Chapter 13. Neurocomputing Advancements to Unlock Image Intelligence for Industrial Computer Vision -- Chapter 14. Analysis and Data Exploration of Dynamic Formula 1 Using the Ergast API Machine Learning -- Chapter 15. Pharmacy Science and Neurological Drug Discovery: Harnessing Natural Food Products -- Chapter 16. Neuromorphic Software Tools and Development Environments: Platforms, Frameworks, and Best Practices -- Chapter 17. Neuromorphic Computing: Transforming Edge and IoT Technologies -- Chapter 18. Leveraging Neuromorphic Computing for Human Action Detection With Deep Neural Networks -- Compilation of References -- About the Contributors -- Index.
Subject:	Neuromorphics. -
Online resource:	https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-6303-4
ISBN:	9798369363058

Revolutionizing AI with brain-inspired technology = neuromorphic computing /
Revolutionizing AI with brain-inspired technologyneuromorphic computing /[electronic resource] :Revolutionizing artificial intelligence with brain-inspired technologyUmesh Kumar Lilhore, Yogesh Kumar Sharma, Sarita Simaiya, Sandeep Kumar, Munish Kumar, editors. - Hershey, Pennsylvania :IGI Global Scientific Publishing,2025. - 1 online resource (564 p.) - Advances in computational intelligence and robotics (ACIR) book series. - Advances in computational intelligence and robotics (ACIR) book series..

Includes bibliographical references and index.

Preface -- Chapter 1. Introduction to Neuromorphic Computing -- Chapter 2. Neuromorphic Computing on FPGA for Image Classification Using QNN (Quantized Neural Network) -- Chapter 3. A Systematic Review of Spiking Neural Networks andTheir Applications -- Chapter 4. Neurogenesis of Intelligence Principles of Brain-Inspired Computing -- Chapter 5. Unveiling the Power of Neuromorphic Computing: An Introductory Overview -- Chapter 6. A Review of GAN-Synthesized Brain MR Image Applications -- Chapter 7. An NLP Approach to Enrich Biomedical Research Through Sentiment Analysis of Patient Feedback -- Chapter 8. Learning Mechanisms in Neuromorphic Computing: Principles, Implementations, and Applications -- Chapter 9. Enhancing Assistive Technologies With Neuromorphic Computing -- Chapter 10. Integrating Neuromorphic Designs in Two-Wheeled Self-Balancing Robots: Current Status and Future Perspectives - A Critical Study -- Chapter 11. Classificationof Moderate and Advanced Dementia Patients Using Gradient Boosting Machine Technique: Classification of Moderate and Advanced Dementia Patients -- Chapter 12. Neuromorphic Advancements: Revolutionizing Healthcare Using Images Through Intelligent Computing -- Chapter 13. Neurocomputing Advancements to Unlock Image Intelligence for Industrial Computer Vision -- Chapter 14. Analysis and Data Exploration of Dynamic Formula 1 Using the Ergast API Machine Learning -- Chapter 15. Pharmacy Science and Neurological Drug Discovery: Harnessing Natural Food Products -- Chapter 16. Neuromorphic Software Tools and Development Environments: Platforms, Frameworks, and Best Practices -- Chapter 17. Neuromorphic Computing: Transforming Edge and IoT Technologies -- Chapter 18. Leveraging Neuromorphic Computing for Human Action Detection With Deep Neural Networks -- Compilation of References -- About the Contributors -- Index.

"As artificial intelligence (AI) continues to evolve, neuromorphic computing stands at the forefront of this revolution, offering a transformative approach by mimicking the structure and function of the human brain. This cutting-edge technology is reshaping AI, making it more efficient, adaptive, and capable of complex tasks that were once thought impossible. Neuromorphic computing has the potential to revolutionize industries such as healthcare, robotics, and autonomous vehicles, driving advancements that could redefine the future of technology and its applications in everyday life. Understanding this emerging field is crucial for anyone involved in AI development or interested in the next frontier of technological innovation. Revolutionizing AI with Brain-Inspired Technology: Neuromorphic Computing covers neuromorphic computing, its real-world applications, and the latest advancements pushing the boundaries of AI. By offering a comprehensive overview and inspiring new research, this book plays a pivotal role in shaping the future of AI and its impact on various sectors. This volume is an essential resource for researchers, academics, professionals, and policymakers who seek to understand the principles and potential of neuromorphic computing as well as the societal implications of these technologies."--

Mode of access: World Wide Web.

ISBN: 9798369363058Subjects--Topical Terms:

2148709
Neuromorphics.
Subjects--Index Terms:

Assistive Technologies.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: TA164.4 / .R48 2025eb

Dewey Class. No.: 006.3/823

Revolutionizing AI with brain-inspired technology = neuromorphic computing /
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504 $a Includes bibliographical references and index.
505 0 $a Preface -- Chapter 1. Introduction to Neuromorphic Computing -- Chapter 2. Neuromorphic Computing on FPGA for Image Classification Using QNN (Quantized Neural Network) -- Chapter 3. A Systematic Review of Spiking Neural Networks andTheir Applications -- Chapter 4. Neurogenesis of Intelligence Principles of Brain-Inspired Computing -- Chapter 5. Unveiling the Power of Neuromorphic Computing: An Introductory Overview -- Chapter 6. A Review of GAN-Synthesized Brain MR Image Applications -- Chapter 7. An NLP Approach to Enrich Biomedical Research Through Sentiment Analysis of Patient Feedback -- Chapter 8. Learning Mechanisms in Neuromorphic Computing: Principles, Implementations, and Applications -- Chapter 9. Enhancing Assistive Technologies With Neuromorphic Computing -- Chapter 10. Integrating Neuromorphic Designs in Two-Wheeled Self-Balancing Robots: Current Status and Future Perspectives - A Critical Study -- Chapter 11. Classificationof Moderate and Advanced Dementia Patients Using Gradient Boosting Machine Technique: Classification of Moderate and Advanced Dementia Patients -- Chapter 12. Neuromorphic Advancements: Revolutionizing Healthcare Using Images Through Intelligent Computing -- Chapter 13. Neurocomputing Advancements to Unlock Image Intelligence for Industrial Computer Vision -- Chapter 14. Analysis and Data Exploration of Dynamic Formula 1 Using the Ergast API Machine Learning -- Chapter 15. Pharmacy Science and Neurological Drug Discovery: Harnessing Natural Food Products -- Chapter 16. Neuromorphic Software Tools and Development Environments: Platforms, Frameworks, and Best Practices -- Chapter 17. Neuromorphic Computing: Transforming Edge and IoT Technologies -- Chapter 18. Leveraging Neuromorphic Computing for Human Action Detection With Deep Neural Networks -- Compilation of References -- About the Contributors -- Index.
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