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  • Format: ePub

About the Book
The human brain remains the most explosive enigmatic and powerful computing system ever known. Its unmatched ability to learn, adapt, reason, and generate creativity continues to inspire scientists, engineers, and philosophers across generations. With the rise of Artificial Intelligence (AI), Neuroscience, and Neuromorphic Engineering, the question once relegated to the realm of science fiction Can we build an artificial brain? is now a legitimate and actively explored scientific frontier.
This book, Artificial Brain and Simulation, is an earnest attempt to synthesize
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Produktbeschreibung
About the Book

The human brain remains the most explosive enigmatic and powerful computing system ever known. Its unmatched ability to learn, adapt, reason, and generate creativity continues to inspire scientists, engineers, and philosophers across generations. With the rise of Artificial Intelligence (AI), Neuroscience, and Neuromorphic Engineering, the question once relegated to the realm of science fiction Can we build an artificial brain? is now a legitimate and actively explored scientific frontier.

This book, Artificial Brain and Simulation, is an earnest attempt to synthesize the diverse yet interrelated domains of cognitive science, machine learning, brain simulation, neuromorphic computing, and robotics into a cohesive academic framework. This work is not merely a speculative exploration of artificial cognition. Rather, it is grounded in current scientific developments, technological breakthroughs, and practical systems already demonstrating nascent forms of synthetic intelligence. From IBM Watson's symbolic reasoning to the digital neurons firing inside Intel's Loihi neuromorphic chip, from brain-computer interfaces used in prosthetics to AI-driven diagnosis of neurological disorders, the world is witnessing an unprecedented convergence of human cognition and machine computation. This convergence is shaping what we refer to as Artificial Brain Simulation.

Why This Book?:

The goal of this book is to serve as a comprehensive guide and reference text for students, researchers, academicians, technologists, and policy makers. It captures the evolving narrative of brain-inspired computing, simulative cognition, and intelligent neural interfaces. Despite the proliferation of literature on AI and neuroscience individually, there exists a noticeable void where both disciplines intersect with engineering design particularly in the design and simulation of artificial brains. This book addresses that void. It dives deep into the biological fundamentals of the human brain while simultaneously translating those concepts into machine-executable systems, neural network models, and cognitive architectures. It traces the history, evaluates the present, and speculates on the future of artificially simulating human thought, perception, memory, decision-making, emotion, and even consciousness. Target Audience: This book is written with multiple tiers of readers in mind: Undergraduate and graduate students studying computer science, neuroscience, AI, robotics, cognitive science, or biomedical engineering. Researchers and Ph.D. candidates seeking deep insights into brain-inspired AI, computational neuroscience, and machine consciousness. Faculty and educators looking for a structured reference to design multidisciplinary courses involving AI and biological cognition. Industry professionals and startups working on neural interfaces, robotics, AR/VR, BCI, IoT, and intelligent automation. Futurists and philosophers of technology interested in the ethical, social, and psychological dimensions of synthetic minds.


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Autorenporträt
S. R. Jena is the Designated Partner of SRJX RESEARCH AND INNOVATION LAB LLP. He has received Honorary Doctorate in Artificial Intelligence from Graham International University, USA. Presently, he is working as an Assistant Professor in School of Computing and Artificial Intelligence, NIMS University, Jaipur, Rajasthan, India. Presently, he is pursuing his PhD in Computer Science and Engineering at Suresh Gyan Vihar University (SGVU), Jaipur, Rajasthan, India and he is also the Post-Doctoral Fellow at NextGen University International, United States.

He has completed his M. Tech degree in Information Technology form Utkal University, Bhubaneswar, Odisha, India in the year 2013, B. Tech in Computer Science and Engineering degree from BPUT, Rourkela, Odisha, India in the year 2010 and also certified by CCNA and Diploma in Computer Hardware and Networking Management from CTTC, Bhubaneswar, Odisha, India in the year 2011. He has more than 10 years of teaching experience from various reputed Universities and Colleges in India. He is basically an Academician, an Author, a Researcher, an Innovator, an Editor, a Reviewer of various International Journals and International Conferences and a Keynote Speaker.

His publications have more than 400 citations, h index of 10, and i10 index of 9 (Google Scholar). He has published 35 international level books, around 30 international level research articles in various international journals, conferences which are indexed by SCIE, Scopus, WOS, UGC Care, Google Scholar etc., and filed 32 international/national patents out of which 17 are granted. Moreover, he has been awarded by Bharat Education Excellence Awards for best researcher in the year 2022 and 2024, Excellent Performance in Educational Domain & Outstanding Contributions in Teaching in the year 2022, Best Researcher by Gurukul Academic Awards in the year 2022, Bharat Samman Nidhi Puraskar for excellence in research in the year 2024, International EARG Awards in the year 2024 in research domain and AMP awards for Educational Excellence 2024. Moreover, his research interests include Artificial Intelligence, Edge AI, Green Computing, Sustainability, Renewable Energy Resources, Cloud and Distributed Computing, Internet of Things, Internet of Energy etc.