Artificial Brain
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Artificial Brain
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2022-07-10
Artificial Brain written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-10 with Technology & Engineering categories.
What Is Artificial Brain An artificial brain is a combination of computer software and hardware that has cognitive capacities that are analogous to those of a human or animal brain. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Artificial brain Chapter 2: Artificial intelligence Chapter 3: Chinese room Chapter 4: Technological singularity Chapter 5: The Age of Spiritual Machines Chapter 6: Mind uploading Chapter 7: Bio-inspired computing Chapter 8: Neuromorphic engineering Chapter 9: Artificial general intelligence Chapter 10: The Singularity Is Near Chapter 11: Neural network Chapter 12: Physical symbol system Chapter 13: Philosophy of artificial intelligence Chapter 14: Neuroinformatics Chapter 15: Outline of artificial intelligence Chapter 16: Hubert Dreyfus's views on artificial intelligence Chapter 17: Brain simulation Chapter 18: How to Create a Mind Chapter 19: Cognitive computer Chapter 20: Hypothetical technology Chapter 21: Turing's Wager (II) Answering the public top questions about artificial brain. (III) Real world examples for the usage of artificial brain in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of artificial brain' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of artificial brain.
Artificial Brain And Simulation
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Author : S. R. Jena
language : en
Publisher: SRJX RESEARCH AND INNOVATION LAB LLP
Release Date : 2025-06-28
Artificial Brain And Simulation written by S. R. Jena and has been published by SRJX RESEARCH AND INNOVATION LAB LLP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-28 with Computers categories.
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. Book Structure and Flow The book is divided into 14 meticulously crafted chapters, each building upon the foundation laid by its predecessors: Chapter 1: Introduction To Artificial Brain This chapter defines what constitutes an artificial brain, outlines the motivation behind its development, and distinguishes it from general-purpose AI. It provides historical insights and visual representations comparing human brains with machine-based intelligence. Chapter 2: Neuroscience Overview To simulate the brain, one must first understand it. This chapter explains the structure, components, and processes of the human brain — including neurons, synapses, learning, memory, and cognition — all explained in computational terms. Chapter 3: Foundations of Artificial Intelligence This chapter transitions to core AI principles, introducing learning paradigms (supervised, unsupervised, reinforcement), deep learning, neural networks, and cognitive architectures like ACT-R and SOAR. Chapter 4: Neuromorphic Computing Neuromorphic systems mimic the behavior of neurons in silicon. This chapter details spiking neural networks, memristors, neuromorphic chips like Loihi and TrueNorth, and the integration of hardware with software. Chapter 5: Brain-Inspired Algorithms Here we discuss Hebbian learning, reinforcement learning loops, bio-inspired optimization methods (GA, PSO, ACO, BFO), and deep cognitive networks as scalable learning systems. Chapter 6: Brain Simulation Projects This chapter dives into real-world simulations like the Blue Brain Project, the Human Brain Project (HBP), OpenWorm, and Nengo — highlighting architectural details and outcomes. Chapter 7: Architecture of Artificial Brain Covering layer-wise simulation of perception, cognition, decision-making, and motor control, this chapter also introduces architectural block diagrams of artificial brains in modular format. Chapter 8: Cognitive Computing and Reasoning Explores AI capabilities in symbolic reasoning, language understanding, planning, perception, and the philosophical notion of self-awareness in synthetic systems. Chapter 9: Memory and Learning Systems It delves into memory models (short-term vs long-term), neural memory frameworks, lifelong learning, and transfer learning. Visual diagrams illustrate how memory evolves in artificial systems. Chapter 10: AI in Healthcare and Brain-Computer Interfaces (BCIs) The intersection of AI and neuroscience is most visible in neural prosthetics, AI for neurological disorders, and BCI-based medical interventions. This chapter includes real-time BCI system design. Chapter 11: Robotics and Autonomous Systems This chapter introduces cognitive robots, emotion-enabled machines, artificial empathy, and humanoid assistants that simulate real social interaction and decision-making. Chapter 12: Smart Systems and Embedded AI Explores deployment of cognitive systems in mobile chips, IoT platforms, smart surveillance, and AR/VR environments. It underscores the importance of real-time, low-power neural architectures. Chapter 13: Ethical, Philosophical Issues and Technological Challenges As artificial brains grow closer to consciousness, this chapter discusses machine rights, existential risks, interpretability, and the control mechanisms necessary to safeguard humanity. A speculative yet evidence-based chapter exploring machine consciousness, AI-human symbiosis, and the implications of uploading human minds into machines (mind uploading). Chapter 14: The Future of Artificial Brain A forward-looking chapter forecasting technological, cognitive, societal, and regulatory trends shaping the future of artificial brain systems. Unique Features of the Book Interdisciplinary Approach: Merges neuroscience, AI, robotics, cognitive science, ethics, and embedded computing. Detailed Diagrams: Over 100 hand-drawn and digitally illustrated diagrams explain complex systems in accessible formats. Comparison Tables: Comparative evaluations of architectures (e.g., ACT-R vs SOAR), chip designs (Loihi vs TrueNorth), and learning models. Recent Research Citations: Each chapter ends with a list of 30 IEEE-style references covering the most recent developments. Case Studies & Applications: Includes Neuralink, BrainGate, OpenWorm, HBP, and real-world BCI-enabled prosthetics. Ethical & Philosophical Lens: Goes beyond technology to address societal impact, machine rights, and AI regulation. The journey toward building an artificial brain is not merely technological—it is deeply philosophical, neuropsychological, and even spiritual. The idea that machines could one day think, feel, or possess some form of synthetic awareness requires us to redefine intelligence, personhood, and even life itself. This book encourages readers to question conventional boundaries and embrace a future that may include minds made of code, thoughts running through silicon, and humanity coexisting with a new cognitive species. We believe Artificial Brain and Simulation will serve as a bridge — connecting the brilliance of natural intelligence with the promise of artificial cognition. Whether you are a student, researcher, or simply a curious mind, we invite you to embark on this voyage where biology meets computation, neurons inspire algorithms, and thought itself is reimagined. We thank you for picking up this book — and we hope it will both inform and inspire you to shape the intelligent systems of tomorrow.
Higher Intelligence
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Author : Peter Aj Van Der Made
language : en
Publisher:
Release Date : 2013
Higher Intelligence written by Peter Aj Van Der Made and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Computers categories.
This book describes historical and current research into artificial intelligence. It focuses on the limitations imposed by hardware and software, and approaches inspired by the nature of human brains.
Nanobrain
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Author : Anirban Bandyopadhyay
language : en
Publisher:
Release Date : 2019
Nanobrain written by Anirban Bandyopadhyay and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
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
Human Brain And Artificial Intelligence
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Author : An Zeng
language : en
Publisher: Springer Nature
Release Date : 2019-11-09
Human Brain And Artificial Intelligence written by An Zeng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-09 with Computers categories.
This book constitutes the refereed proceedings of the workshop held in conjunction with the 28th International Conference on Artificial Intelligence, IJCAI 2019, held in Macao, China, in August 2019: the First International Workshop on Human Brain and Artificial Intelligence, HBAI 2019. The 24 full papers presented were carefully reviewed and selected from 62 submissions. The papers are organized according to the following topical headings: computational brain science and its applications; brain-inspired artificial intelligence and its applications.
Artificial Life Iv
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Author : Rodney Allen Brooks
language : en
Publisher: MIT Press
Release Date : 1994
Artificial Life Iv written by Rodney Allen Brooks and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
This book brings together contributions to the Fourth Artificial Life Workshop, held at the Massachusetts Institute of Technology in the summer of 1994.
Bio Inspired Computation In Unmanned Aerial Vehicles
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Author : Haibin Duan
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-01-02
Bio Inspired Computation In Unmanned Aerial Vehicles written by Haibin Duan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-02 with Technology & Engineering categories.
Bio-inspired Computation in Unmanned Aerial Vehicles focuses on the aspects of path planning, formation control, heterogeneous cooperative control and vision-based surveillance and navigation in Unmanned Aerial Vehicles (UAVs) from the perspective of bio-inspired computation. It helps readers to gain a comprehensive understanding of control-related problems in UAVs, presenting the latest advances in bio-inspired computation. By combining bio-inspired computation and UAV control problems, key questions are explored in depth, and each piece is content-rich while remaining accessible. With abundant illustrations of simulation work, this book links theory, algorithms and implementation procedures, demonstrating the simulation results with graphics that are intuitive without sacrificing academic rigor. Further, it pays due attention to both the conceptual framework and the implementation procedures. The book offers a valuable resource for scientists, researchers and graduate students in the field of Control, Aerospace Technology and Astronautics, especially those interested in artificial intelligence and Unmanned Aerial Vehicles. Professor Haibin Duan and Dr. Pei Li, both work at Beihang University (formerly Beijing University of Aeronautics & Astronautics, BUAA). Prof Duan's academic website is: http://hbduan.buaa.edu.cn
The Metaphorical Brain
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Author : Michael A. Arbib
language : en
Publisher: John Wiley & Sons
Release Date : 1972
The Metaphorical Brain written by Michael A. Arbib 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 1972 with Computers categories.
Time Space Spiking Neural Networks And Brain Inspired Artificial Intelligence
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Author : Nikola K. Kasabov
language : en
Publisher: Springer
Release Date : 2018-08-29
Time Space Spiking Neural Networks And Brain Inspired Artificial Intelligence written by Nikola K. Kasabov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-29 with Technology & Engineering categories.
Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.