Revolutionizing AI with Brain-Inspired Technology: Neuromorphic Computing: Neuromorphic Computing

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· IGI Global
Ebook
564
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About this ebook

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.

About the author

Umesh Kumar is a distinguished academician and researcher with over 18 years of experience in Computer Science and Engineering. Currently serving as a Professor in the Department of Computer Science and Engineering at Galgotias University, Dr. Kumar holds a Ph.D. and M.Tech in CSE. He has also completed a post-doctoral degree in ML. Dr. Kumar's research interests encompass ML,DL, and he has contributed significantly to the field through his research, publications, and academic endeavors. Known for his dedication to teaching and research, Dr. Kumar is committed to fostering a dynamic learning environment for his students and collaborating with colleagues to advance the field of Computer Science and Engineering.

Yogesh Sharma is a highly experienced professional with a strong background in Computer Science and Engineering. He currently serves as a Professor in the Department of Computer Science and Engineering at KL University. Dr. Yogesh holds a Ph.D. in Computer Science and Engineering and has over 18 years of teaching and research experience. Education: Ph.D. in Computer Science and Engineering Professional Experience: Professor, Computer Science and Engineering, KL University (Present)

Sarita Simaiya is a dedicated and accomplished professional with over 16 years of experience in research and teaching in the field of Computer Science and Engineering. Currently serving as a Professor at Galgotias University, she holds a Ph.D. and M.Tech in Computer Science and Engineering. Dr. Sarita is known for her expertise in AI and ML, and she has made significant contributions to the field through her research and publications. She is passionate about mentoring students and creating a dynamic learning environment that fosters innovation and excellence. Dr. Sarita's commitment to academic and research excellence makes her a valuable asset to Galgotias

Sandeep Kumar is a seasoned academician and researcher with a profound expertise in Computer Science and Engineering. Currently serving as a Professor in the Department of Computer Science and Engineering at KL University, Dr. Kumar holds a Ph.D. in Computer Science and Engineering and has 18 years of experience in both teaching and research. He is known for his passion for advancing knowledge in the field and has made significant contributions through his research and publications. Dr. Kumar is dedicated to fostering a dynamic learning environment for his students and is committed to excellence in both academia and research.

Munish Kumar is an Assistant Professor in the CSE Department at KL University. He holds a Ph.D. in CSE and has a strong background in AI and ML Research Areas. With a passion for teaching and research, Dr. Munish is dedicated to fostering a dynamic learning environment for students. His research interests include AI, ML and Deep Learning, and he has published extensively in reputed journals and conferences. Dr. Munish is committed to contributing to the academic and research community and is actively involved in research. [Editor]

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