[PDF] Neuro Inspired Computing For Next Gen Ai Computing Model Architectures And Learning Algorithms - eBooks Review

Neuro Inspired Computing For Next Gen Ai Computing Model Architectures And Learning Algorithms


Neuro Inspired Computing For Next Gen Ai Computing Model Architectures And Learning Algorithms
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Download Neuro Inspired Computing For Next Gen Ai Computing Model Architectures And Learning Algorithms PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Neuro Inspired Computing For Next Gen Ai Computing Model Architectures And Learning Algorithms book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Neuro Inspired Computing For Next Gen Ai Computing Model Architectures And Learning Algorithms


Neuro Inspired Computing For Next Gen Ai Computing Model Architectures And Learning Algorithms
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Author : Angeliki Pantazi
language : en
Publisher: Frontiers Media SA
Release Date : 2022-08-29

Neuro Inspired Computing For Next Gen Ai Computing Model Architectures And Learning Algorithms written by Angeliki Pantazi and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-29 with Science categories.




Brain Inspired Cognition And Understanding For Next Generation Ai Computational Models Architectures And Learning Algorithms


Brain Inspired Cognition And Understanding For Next Generation Ai Computational Models Architectures And Learning Algorithms
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Author : Chenwei Deng
language : en
Publisher: Frontiers Media SA
Release Date : 2023-04-19

Brain Inspired Cognition And Understanding For Next Generation Ai Computational Models Architectures And Learning Algorithms written by Chenwei Deng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-19 with Science categories.




Adaptive Intelligence Evolutionary Computation For Nextgen Ai


Adaptive Intelligence Evolutionary Computation For Nextgen Ai
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Author : Saurabh Pahune, Kolluri Venkateswaranaidu, Dr. Sumeet Mathur
language : en
Publisher: Notion Press
Release Date : 2025-01-25

Adaptive Intelligence Evolutionary Computation For Nextgen Ai written by Saurabh Pahune, Kolluri Venkateswaranaidu, Dr. Sumeet Mathur and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-25 with Computers categories.


The book is about use of Generative AI in Evolutionary Computation and has the potential for positive impact and global implications in Adaptive control systems (ACS) are complicated and might have trouble keeping up with fast changes, but they improve performance by responding to input and system changes in realtime, which has benefits including automated adjustment and cost savings. Neural networks have great promise for improving AI capabilities and efficiency; they analyze input through interconnected nodes to accomplish tasks like voice and picture recognition, replicating the human brain.



Neuromorphic Photonic Devices And Applications


Neuromorphic Photonic Devices And Applications
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Author : Min Gu
language : en
Publisher: Elsevier
Release Date : 2023-12-01

Neuromorphic Photonic Devices And Applications written by Min Gu and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-01 with Technology & Engineering categories.


Neuromorphic Photonic Devices and Applications synthesizes the most critical advances in photonic neuromorphic models, photonic material platforms and accelerators for neuromorphic computing. The book discusses fields and applications that can leverage these new platforms. A brief review of the historical development of the field is followed by a discussion of the emerging 2D photonic materials platforms and recent work in implementing neuromorphic models and 3D neuromorphic systems. The application of artificial intelligence (AI), such as neuromorphic models to inverse design neuromorphic materials and devices and predict performance challenges is discussed throughout. Finally, a comprehensive overview of the applications of neuromorphic photonic technologies and the challenges, opportunities and future prospects is discussed, making the book suitable for researchers and practitioners in academia and R&D in the multidisciplinary field of photonics. - Includes overview of primary scientific concepts for the research topic of neuromorphic photonics such as neurons as computational units, artificial intelligence, machine learning and neuromorphic models - Reviews the latest advances in photonic materials, device platforms and enabling technology drivers of neuromorphic photonics - Discusses potential applications in computing and optical communications



Computational Intelligence Algorithms For The Diagnosis Of Neurological Disorders


Computational Intelligence Algorithms For The Diagnosis Of Neurological Disorders
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Author : S. N. Kumar
language : en
Publisher: CRC Press
Release Date : 2025-08-06

Computational Intelligence Algorithms For The Diagnosis Of Neurological Disorders written by S. N. Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-06 with Computers categories.


This book delves into the transformative potential of artificial intelligence (AI) and machine learning (ML) as game-changers in diagnosing and managing neurodisorder conditions. It covers a wide array of methodologies, algorithms, and applications in depth. Computational Intelligence Algorithms for the Diagnosis of Neurological Disorders equips readers with a comprehensive understanding of how computational intelligence empowers healthcare professionals in the fight against neurodisorders. Through practical examples and clear explanations, it explores the diverse applications of these technologies, showcasing their ability to analyze complex medical data, identify subtle patterns, and contribute to the development of more accurate and efficient diagnostic tools. The authors delve into the exciting possibilities of AI-powered algorithms, exploring their ability to analyze various data sources like neuroimaging scans, genetic information, and cognitive assessments. They also examine the realm of ML for pattern recognition, enabling the identification of early disease markers and facilitating timely intervention. Finally, the authors also address the critical challenges of data privacy and security, emphasizing the need for robust ethical frameworks to safeguard sensitive patient information. This book aims to spark a conversation and foster collaboration among researchers, clinicians, and technologists, and will assist radiologists and neurologists in making precise diagnoses with enhanced accuracy.



Artificial Intelligence In The Age Of Neural Networks And Brain Computing


Artificial Intelligence In The Age Of Neural Networks And Brain Computing
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Author : Robert Kozma
language : en
Publisher: Academic Press
Release Date : 2018-10-30

Artificial Intelligence In The Age Of Neural Networks And Brain Computing written by Robert Kozma and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-30 with Science categories.


Artificial Intelligence in the Age of Neural Networks and Brain Computing demonstrates that existing disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity and smart autonomous search engines. The book covers the major basic ideas of brain-like computing behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as future alternatives. The success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel and Amazon can be interpreted using this book. - Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN) - Authored by top experts, global field pioneers and researchers working on cutting-edge applications in signal processing, speech recognition, games, adaptive control and decision-making - Edited by high-level academics and researchers in intelligent systems and neural networks



Artificial Intelligence Chips And Data Engineering The Semiconductor Revolution For The Next Technological Era


Artificial Intelligence Chips And Data Engineering The Semiconductor Revolution For The Next Technological Era
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Author : Botlagunta Preethish Nandan
language : en
Publisher: Deep Science Publishing
Release Date : 2025-05-07

Artificial Intelligence Chips And Data Engineering The Semiconductor Revolution For The Next Technological Era written by Botlagunta Preethish Nandan and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-07 with Computers categories.


The 21st century is witnessing a profound technological transformation, with artificial intelligence (AI) at its epicenter. As AI algorithms become increasingly sophisticated, their insatiable demand for processing power and data throughput is pushing the boundaries of what traditional computing infrastructures can offer. At the heart of this evolution lies the semiconductor industry—reimagining its core principles to engineer chips that are not only faster and more efficient but also intelligent and adaptable. This book is born out of the urgent need to explore the critical intersection between AI and semiconductor innovation. It provides a comprehensive view of how custom-designed AI chips—such as GPUs, TPUs, FPGAs, and neuromorphic processors—are redefining performance benchmarks and unlocking capabilities that were once the realm of science fiction. We delve into the fundamental principles behind AI-centric chip design, the data pipelines that feed them, and the architectural innovations enabling real-time learning, inference, and massive parallelism. From edge computing to hyperscale data centers, the book investigates how data movement, storage, and processing are being reengineered to support the next wave of AI applications, including autonomous systems, natural language understanding, predictive analytics, and more. Equally important, this work sheds light on the global semiconductor ecosystem, including the geopolitical, economic, and environmental factors shaping chip manufacturing and supply chains. As AI continues to permeate every sector—healthcare, finance, defense, education, and beyond—the role of AI chips becomes increasingly strategic. Whether you're a researcher, engineer, policymaker, or tech enthusiast, this book aims to equip you with a deep understanding of the technological forces propelling us into a new era of intelligent machines. It is both a chronicle of current breakthroughs and a roadmap for future innovation. Welcome to the frontier of AI and semiconductors, where data meets silicon to redefine what's possible.



Integrated Devices For Artificial Intelligence And Vlsi


Integrated Devices For Artificial Intelligence And Vlsi
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Author : Balwinder Raj
language : en
Publisher: John Wiley & Sons
Release Date : 2024-08-01

Integrated Devices For Artificial Intelligence And Vlsi written by Balwinder Raj and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-01 with Technology & Engineering categories.


With its in-depth exploration of the close connection between microelectronics, AI, and VLSI technology, this book offers valuable insights into the cutting-edge techniques and tools used in VLSI design automation, making it an essential resource for anyone seeking to stay ahead in the rapidly evolving field of VLSI design. Very large-scale integration (VLSI) is the inter-disciplinary science of utilizing advanced semiconductor technology to create various functions of computer system. This book addresses the close link of microelectronics and artificial intelligence (AI). By combining VLSI technology, a very powerful computer architecture confinement is possible. To overcome problems at different design stages, researchers introduced artificial intelligent (AI) techniques in VLSI design automation. AI techniques, such as knowledge-based and expert systems, first try to define the problem and then choose the best solution from the domain of possible solutions. These days, several CAD technologies, such as Synopsys and Mentor Graphics, are specifically created to increase the automation of VLSI design. When a task is completed using the appropriate tool, each stage of the task design produces outcomes that are more productive than typical. However, combining all of these tools into a single package offer has drawbacks. We can’t really use every outlook without sacrificing the efficiency and usefulness of our output. The researchers decided to include AI approaches into VLSI design automation in order to get around these obstacles. AI is one of the fastest growing tools in the world of technology and innovation that helps to make computers more reliable and easy to use. Artificial Intelligence in VLSI design has provided high-end and more feasible solutions to the difficulties faced by the VLSI industry. Physical design, RTL design, STA, etc. are some of the most in-demand courses to enter the VLSI industry. These courses help develop a better understanding of the many tools like Synopsis. With each new dawn, artificial intelligence in VLSI design is continually evolving, and new opportunities are being investigated.



Next Gen Retail And Manufacturing Agentic Ai Digital Twins And Smart Supply Chains


Next Gen Retail And Manufacturing Agentic Ai Digital Twins And Smart Supply Chains
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Author :
language : en
Publisher: BUDHA PUBLICATION
Release Date :

Next Gen Retail And Manufacturing Agentic Ai Digital Twins And Smart Supply Chains written by and has been published by BUDHA PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


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Revolutionizing Ai With Brain Inspired Technology Neuromorphic Computing


Revolutionizing Ai With Brain Inspired Technology Neuromorphic Computing
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Author : Lilhore, Umesh Kumar
language : en
Publisher: IGI Global
Release Date : 2024-11-29

Revolutionizing Ai With Brain Inspired Technology Neuromorphic Computing written by Lilhore, Umesh Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-29 with Computers categories.


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.