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Principles And Applications Of Adaptive Artificial Intelligence
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Book Synopsis Handbook of Research on Adaptive Artificial Intelligence by : Zhihan Lv
Download or read book Handbook of Research on Adaptive Artificial Intelligence written by Zhihan Lv and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book covers the latest and cutting-edge application technology of Adaptive AI in various fields. It can provide relevant practitioners with ideas to solve problems and have a deeper understanding of Adaptive AI. At the same time, guide and help Adaptive AI and related industries to deepen their understanding of the industry and enhance their professional knowledge and skills"--
Book Synopsis Principles and Applications of Adaptive Artificial Intelligence by : Zhihan Lv
Download or read book Principles and Applications of Adaptive Artificial Intelligence written by Zhihan Lv and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid adoption of deep learning models has resulted in many business services becoming model services, yet most AI systems lack the necessary automation and industrialization capabilities. This leads to heavy reliance on manual operation and maintenance, which not only consumes power but also causes resource wastage and stability issues during system mutations. The inadequate self-adaptation of AI systems poses significant challenges in terms of cost-effectiveness and operational stability. Principles and Applications of Adaptive Artificial Intelligence , edited by Zhihan Lv of Uppsala University, Sweden, offers a comprehensive solution to the self-adaptation issues in AI systems. It explores the latest concepts, technologies, and applications of adaptive AI, equipping academic scholars and professionals with the necessary knowledge to overcome the challenges faced by traditional business logic transformed into model services. With its problem-solving approach, the handbook presents real-world cases, along with thorough analysis and relatable examples, making it an invaluable resource for practitioners seeking practical ideas and solutions in the field. Additionally, the book serves as a teaching material and reference guide for students and educators in AI-related disciplines, ensuring a deep understanding and exploration of the emerging discipline of Adaptive AI. By emphasizing self-adaptation, continuous model iteration, and dynamic learning based on real-time feedback, the book empowers readers to significantly enhance the cost-effectiveness and operational stability of AI systems. In a rapidly changing landscape, Principles and Applications of Adaptive Artificial Intelligence becomes the ultimate guide for researchers, professionals, and students, enabling them to unleash the full potential of Adaptive AI and revolutionize their research and applications.
Book Synopsis Principles and Applications of Adaptive Artificial Intelligence by : Lv, Zhihan
Download or read book Principles and Applications of Adaptive Artificial Intelligence written by Lv, Zhihan and published by IGI Global. This book was released on 2024-01-24 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid adoption of deep learning models has resulted in many business services becoming model services, yet most AI systems lack the necessary automation and industrialization capabilities. This leads to heavy reliance on manual operation and maintenance, which not only consumes power but also causes resource wastage and stability issues during system mutations. The inadequate self-adaptation of AI systems poses significant challenges in terms of cost-effectiveness and operational stability. Principles and Applications of Adaptive Artificial Intelligence, edited by Zhihan Lv from Uppsala University, Sweden, offers a comprehensive solution to the self-adaptation problem in AI systems. It explores the latest concepts, technologies, and applications of Adaptive AI, equipping academic scholars and professionals with the necessary knowledge to overcome the challenges faced by traditional business logic transformed into model services. With its problem-solving approach, real-world case studies, and thorough analysis, the Handbook provides practitioners with practical ideas and solutions, while also serving as a valuable teaching material and reference guide for students and educators in AI-related disciplines. By emphasizing self-adaptation, continuous model iteration, and dynamic learning based on real-time feedback, the book empowers readers to significantly enhance the cost-effectiveness and operational stability of AI systems, making it an indispensable resource for researchers, professionals, and students seeking to revolutionize their research and applications in the field of Adaptive AI.
Book Synopsis Principles of Adaptive Filters and Self-learning Systems by : Anthony Zaknich
Download or read book Principles of Adaptive Filters and Self-learning Systems written by Anthony Zaknich and published by Springer Science & Business Media. This book was released on 2005-08-19 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teaches students about classical and nonclassical adaptive systems within one pair of covers Helps tutors with time-saving course plans, ready-made practical assignments and examination guidance The recently developed "practical sub-space adaptive filter" allows the reader to combine any set of classical and/or non-classical adaptive systems to form a powerful technology for solving complex nonlinear problems
Book Synopsis Artificial Intelligence by : A. R. Mirzai
Download or read book Artificial Intelligence written by A. R. Mirzai and published by Chapman & Hall. This book was released on 1990 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: These original contributions provide a unique opportunity for researchers and computing professionals, engineers, and managers to explore both the principles underlying basic AI research and their application in practice. The first part of the book describes work in five areas of AI research that is currently at the stage where it can be implemented in practical programs. These areas include blackboard architectures and systems, learning algorithms and strategies, neural networks, adaptive learning using pattern recognition, and signal processing. The second part describes six systems, designed for a wide variety of applications, that are now either in operation or at an advanced stage of development; intelligent techniques for spectral estimation, expert systems applied to antenatal assessment of fetal well-being, AI in the processing of underwater acoustic data, automatic speech recognition using neural networks, fault diagnosis of microwave digital radio, and waveguide filter alignment using adaptive learning techniques. A. R. Mirzai is a Research Fellow in the Department of Electrical Engineering at the University of Edinburgh. Artificial Intelligence: Concepts and Applications is included in the Artificial Intelligence series, edited by Michael Brady, Daniel Bobrow, and Randall Davis.
Book Synopsis Artificial Intelligence by : Masoud Yazdani
Download or read book Artificial Intelligence written by Masoud Yazdani and published by Chapman & Hall. This book was released on 1986 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Artificial Intelligence in the Age of Neural Networks and Brain Computing by : Robert Kozma
Download or read book Artificial Intelligence in the Age of Neural Networks and Brain Computing written by Robert Kozma and published by Academic Press. This book was released on 2023-10-27 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition demonstrates that present 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 possible future alternatives. The present success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel, and Amazon, can be interpreted using the perspective presented in this book by viewing the co-existence of a successful synergism among what is referred to as computational intelligence, natural intelligence, brain computing, and neural engineering. The new edition has been updated to include major new advances in the field, including many new chapters. 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 Includes all new chapters, including topics such as Frontiers in Recurrent Neural Network Research; Big Science, Team Science, Open Science for Neuroscience; A Model-Based Approach for Bridging Scales of Cortical Activity; A Cognitive Architecture for Object Recognition in Video; How Brain Architecture Leads to Abstract Thought; Deep Learning-Based Speech Separation and Advances in AI, Neural Networks
Book Synopsis Principles of Artificial Intelligence by : Nils J. Nilsson
Download or read book Principles of Artificial Intelligence written by Nils J. Nilsson and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: A classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of the control strategies used. Principles of Artificial Intelligenceevolved from the author's courses and seminars at Stanford University and University of Massachusetts, Amherst, and is suitable for text use in a senior or graduate AI course, or for individual study.
Book Synopsis Adaptation in Natural and Artificial Systems by : John H. Holland
Download or read book Adaptation in Natural and Artificial Systems written by John H. Holland and published by Bradford Book. This book was released on 1992-01-01 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the design of complex devices such as aircraft turbines and integrated circuits.
Book Synopsis Engineering Applications of Artificial Intelligence by : Aziza Chakir
Download or read book Engineering Applications of Artificial Intelligence written by Aziza Chakir and published by Springer Nature. This book was released on with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Intelligent Control by : Zi-Xing Cai
Download or read book Intelligent Control written by Zi-Xing Cai and published by World Scientific. This book was released on 1997 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducton; Methology of knowledge representation; General inference principles; Hierarchical control systems; Expert control systems; Fuzzy control systems; Neurocontrol systems; Learning control systems; Intelligente control systems in application; Prospectives of intelligente control; References; Bibliography; Subject index.
Book Synopsis Learning for Adaptive and Reactive Robot Control by : Aude Billard
Download or read book Learning for Adaptive and Reactive Robot Control written by Aude Billard and published by MIT Press. This book was released on 2022-02-08 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises. This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a set of control laws that enable reactivity using dynamical systems, a widely used method for solving motion-planning problems in robotics. These control approaches can replan in milliseconds to adapt to new environmental constraints and offer safe and compliant control of forces in contact. The techniques offer theoretical advantages, including convergence to a goal, non-penetration of obstacles, and passivity. The coverage of learning begins with low-level control parameters and progresses to higher-level competencies composed of combinations of skills. Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with chapters that proceed from fundamentals to more advanced content. Techniques covered include learning from demonstration, optimization, and reinforcement learning, and using dynamical systems in learning control laws, trajectory planning, and methods for compliant and force control . Features for teaching in each chapter: applications, which range from arm manipulators to whole-body control of humanoid robots; pencil-and-paper and programming exercises; lecture videos, slides, and MATLAB code examples available on the author’s website . an eTextbook platform website offering protected material[EPS2] for instructors including solutions.
Book Synopsis Self-Adaptive Systems for Machine Intelligence by : Haibo He
Download or read book Self-Adaptive Systems for Machine Intelligence written by Haibo He and published by John Wiley & Sons. This book was released on 2011-09-15 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will advance the understanding and application of self-adaptive intelligent systems; therefore it will potentially benefit the long-term goal of replicating certain levels of brain-like intelligence in complex and networked engineering systems. It will provide new approaches for adaptive systems within uncertain environments. This will provide an opportunity to evaluate the strengths and weaknesses of the current state-of-the-art of knowledge, give rise to new research directions, and educate future professionals in this domain. Self-adaptive intelligent systems have wide applications from military security systems to civilian daily life. In this book, different application problems, including pattern recognition, classification, image recovery, and sequence learning, will be presented to show the capability of the proposed systems in learning, memory, and prediction. Therefore, this book will also provide potential new solutions to many real-world applications.
Book Synopsis Risk Assessment and Countermeasures for Cybersecurity by : Almaiah, Mohammed Amin
Download or read book Risk Assessment and Countermeasures for Cybersecurity written by Almaiah, Mohammed Amin and published by IGI Global. This book was released on 2024-05-01 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: The relentless growth of cyber threats poses an escalating challenge to our global community. The current landscape of cyber threats demands a proactive approach to cybersecurity, as the consequences of lapses in digital defense reverberate across industries and societies. From data breaches to sophisticated malware attacks, the vulnerabilities in our interconnected systems are glaring. As we stand at the precipice of a digital revolution, the need for a comprehensive understanding of cybersecurity risks and effective countermeasures has never been more pressing. Risk Assessment and Countermeasures for Cybersecurity is a book that clarifies many of these challenges in the realm of cybersecurity. It systematically navigates the web of security challenges, addressing issues that range from cybersecurity risk assessment to the deployment of the latest security countermeasures. As it confronts the threats lurking in the digital shadows, this book stands as a catalyst for change, encouraging academic scholars, researchers, and cybersecurity professionals to collectively fortify the foundations of our digital world.
Book Synopsis Deep Learning, Reinforcement Learning, and the Rise of Intelligent Systems by : Uddin, M. Irfan
Download or read book Deep Learning, Reinforcement Learning, and the Rise of Intelligent Systems written by Uddin, M. Irfan and published by IGI Global. This book was released on 2024-02-26 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: The applications of rapidly advancing intelligent systems are so varied that many are still yet to be discovered. There is often a disconnect between experts in computer science, artificial intelligence, machine learning, robotics, and other specialties, which inhibits the potential for the expansion of this technology and its many benefits. A resource that encourages interdisciplinary collaboration is needed to bridge the gap between these respected leaders of their own fields. Deep Learning, Reinforcement Learning, and the Rise of Intelligent Systems represents an exploration of the forefront of artificial intelligence, navigating the complexities of this field and its many applications. This guide expertly navigates through the intricate domains of deep learning and reinforcement learning, offering an in-depth journey through foundational principles, advanced methodologies, and cutting-edge algorithms shaping the trajectory of intelligent systems. The book covers an introduction to artificial intelligence and its subfields, foundational aspects of deep learning, a demystification of the architecture of neural networks, the mechanics of backpropagation, and the intricacies of critical elements such as activation and loss functions. The book serves as a valuable educational resource for professionals. Its structured approach makes it an ideal reference for students, researchers, and industry professionals.
Book Synopsis Empowering Low-Resource Languages With NLP Solutions by : Pakray, Partha
Download or read book Empowering Low-Resource Languages With NLP Solutions written by Pakray, Partha and published by IGI Global. This book was released on 2024-02-27 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: In our increasingly interconnected world, low-resource languages face the threat of oblivion. These linguistic gems, often spoken by marginalized communities, are at risk of fading away due to limited data and resources. The neglect of these languages not only erodes cultural diversity but also hinders effective communication, education, and social inclusion. Academics, practitioners, and policymakers grapple with the urgent need for a comprehensive solution to preserve and empower these vulnerable languages. Empowering Low-Resource Languages With NLP Solutions is a pioneering book that stands as the definitive answer to the pressing problem at hand. It tackles head-on the challenges that low-resource languages face in the realm of Natural Language Processing (NLP). Through real-world case studies, expert insights, and a comprehensive array of topics, this book equips its readersacademics, researchers, practitioners, and policymakerswith the tools, strategies, and ethical considerations needed to address the crisis facing low-resource languages.
Book Synopsis Pocket Guide to Artificial Intelligence by : Henrik Envall
Download or read book Pocket Guide to Artificial Intelligence written by Henrik Envall and published by Independently Published. This book was released on 2023-08-21 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the foundational principles of machine learning to the ethical dilemmas posed by super-intelligent systems, this book navigates the vast AI landscape with clarity and insight. Whether you're curious about neural networks, eager to understand the future of AI, or pondering the moral implications of machine decisions, this guide has you covered. Dive deep into the Foundations of Machine Learning, where algorithms and data dance in a harmonious ballet. Journey further into the intricate labyrinths of Neural Networks and Deep Learning, where machines not just compute, but also 'think'. Marvel at the wonders of Natural Language Processing, where AI converses and comprehends human language, and Computer Vision, where it perceives the world through digital eyes. Navigate the intricate maze of AI Algorithms, the very soul of intelligent systems. Discover the transformative power of Adaptive Learning Platforms and the foresight of Predictive Maintenance. Feel the thrill of the future with Autonomous Systems and Self-Driving Cars, and envision urban utopias with Traffic Management with AI. Yet, with great power comes great responsibility. Reflect on the Ethics in AI, understanding the challenges and guiding principles. Finally, gaze into the horizon with a contemplative exploration of the Future of AI.
