Nouvelle Artificial Intelligence

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Fundamentals of the New Artificial Intelligence

Author : Toshinori Munakata
Publisher : Springer Science & Business Media
ISBN 13 : 1846288398
Total Pages : 266 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Fundamentals of the New Artificial Intelligence by : Toshinori Munakata

Download or read book Fundamentals of the New Artificial Intelligence written by Toshinori Munakata and published by Springer Science & Business Media. This book was released on 2008-01-01 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers the most essential and widely employed material in each area, particularly the material important for real-world applications. Our goal is not to cover every latest progress in the fields, nor to discuss every detail of various techniques that have been developed. New sections/subsections added in this edition are: Simulated Annealing (Section 3.7), Boltzmann Machines (Section 3.8) and Extended Fuzzy if-then Rules Tables (Sub-section 5.5.3). Also, numerous changes and typographical corrections have been made throughout the manuscript. The Preface to the first edition follows. General scope of the book Artificial intelligence (AI) as a field has undergone rapid growth in diversification and practicality. For the past few decades, the repertoire of AI techniques has evolved and expanded. Scores of newer fields have been added to the traditional symbolic AI. Symbolic AI covers areas such as knowledge-based systems, logical reasoning, symbolic machine learning, search techniques, and natural language processing. The newer fields include neural networks, genetic algorithms or evolutionary computing, fuzzy systems, rough set theory, and chaotic systems.

Nouvelle Artificial Intelligence

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 128 pages
Book Rating : 4.:/5 (661 download)

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Book Synopsis Nouvelle Artificial Intelligence by : Fouad Sabry

Download or read book Nouvelle Artificial Intelligence written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-06-22 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Nouvelle Artificial Intelligence In the 1980s, Rodney Brooks, who at the time worked as part of the artificial intelligence laboratory at MIT, laid the groundwork for what is now known as nouvelle artificial intelligence (AI), a methodology for artificial intelligence. New AI is a departure from traditional AI in that its objective is to endow robots with intelligence levels comparable to that of insects. Instead than relying on the created worlds that symbolic AIs generally needed to have programmed into them, researchers believe that intelligence can arise naturally from simple behaviors as these intelligences interact with the "real world." How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Nouvelle AI Chapter 2: Artificial intelligence Chapter 3: Subsumption architecture Chapter 4: Cog (project) Chapter 5: Behavior-based robotics Chapter 6: Rodney Brooks Chapter 7: Neats and scruffies Chapter 8: Physical symbol system Chapter 9: Embodied cognitive science Chapter 10: Situated approach (artificial intelligence) (II) Answering the public top questions about nouvelle artificial intelligence. (III) Real world examples for the usage of nouvelle artificial intelligence in many fields. 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 nouvelle artificial intelligence. What Is Artificial Intelligence Series The artificial intelligence book series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field. The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.

Machine Learning

Author : Ethem Alpaydin
Publisher : MIT Press
ISBN 13 : 0262529513
Total Pages : 225 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Machine Learning by : Ethem Alpaydin

Download or read book Machine Learning written by Ethem Alpaydin and published by MIT Press. This book was released on 2016-10-07 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise overview of machine learning—computer programs that learn from data—which underlies applications that include recommendation systems, face recognition, and driverless cars. Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition—as well as some we don't yet use everyday, including driverless cars. It is the basis of the new approach in computing where we do not write programs but collect data; the idea is to learn the algorithms for the tasks automatically from data. As computing devices grow more ubiquitous, a larger part of our lives and work is recorded digitally, and as “Big Data” has gotten bigger, the theory of machine learning—the foundation of efforts to process that data into knowledge—has also advanced. In this book, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general reader, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context. He describes the basics of machine learning and some applications; the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances, with such applications as customer segmentation and learning recommendations; and reinforcement learning, when an autonomous agent learns act so as to maximize reward and minimize penalty. Alpaydin then considers some future directions for machine learning and the new field of “data science,” and discusses the ethical and legal implications for data privacy and security.

Artificial Intelligence and Big Data

Author : Fernando Iafrate
Publisher : John Wiley & Sons
ISBN 13 : 1119489261
Total Pages : 168 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Artificial Intelligence and Big Data by : Fernando Iafrate

Download or read book Artificial Intelligence and Big Data written by Fernando Iafrate and published by John Wiley & Sons. This book was released on 2018-02-15 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the idea of “deep learning” having now become the key to this new generation of solutions, major technological players in the business intelligence sector have taken an interest in the application of Big Data. In this book, the author explores the recent technological advances associated with digitized data flows, which have recently opened up new horizons for AI. The reader will gain insight into some of the areas of application of Big Data in AI, including robotics, home automation, health, security, image recognition and natural language processing.

Machines that Think

Author : New Scientist
Publisher : John Murray
ISBN 13 : 1473629667
Total Pages : 269 pages
Book Rating : 4.4/5 (736 download)

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Book Synopsis Machines that Think by : New Scientist

Download or read book Machines that Think written by New Scientist and published by John Murray. This book was released on 2017-10-19 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sometime in the future the intelligence of machines will exceed that of human brain power. So are we on the edge of an AI-pocalypse, with superintelligent devices superseding humanity, as predicted by Stephen Hawking? Or will this herald a kind of Utopia, with machines doing a far better job at complex tasks than us? You might not realise it, but you interact with AIs every day. They route your phone calls, approve your credit card transactions and help your doctor interpret results. Driverless cars will soon be on the roads with a decision-making computer in charge. But how do machines actually think and learn? In Machines That Think, AI experts and New Scientist explore how artificial intelligence helps us understand human intelligence, machines that compose music and write stories - and ask if AI is really a threat. ABOUT THE SERIES New Scientist Instant Expert books are definitive and accessible entry points to the most important subjects in science; subjects that challenge, attract debate, invite controversy and engage the most enquiring minds. Designed for curious readers who want to know how things work and why, the Instant Expert series explores the topics that really matter and their impact on individuals, society, and the planet, translating the scientific complexities around us into language that's open to everyone, and putting new ideas and discoveries into perspective and context.

Artificial Intelligence

Author : Nils J. Nilsson
Publisher : Morgan Kaufmann
ISBN 13 : 1558604677
Total Pages : 537 pages
Book Rating : 4.5/5 (586 download)

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Book Synopsis Artificial Intelligence by : Nils J. Nilsson

Download or read book Artificial Intelligence written by Nils J. Nilsson and published by Morgan Kaufmann. This book was released on 1998-04 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nilsson employs increasingly capable intelligent agents in an evolutionary approach--a novel perspective from which to view and teach topics in artificial intelligence.

Fundamentals of the New Artificial Intelligence

Author : Toshinori Munakata
Publisher : Springer Science & Business Media
ISBN 13 : 9780387983028
Total Pages : 248 pages
Book Rating : 4.9/5 (83 download)

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Book Synopsis Fundamentals of the New Artificial Intelligence by : Toshinori Munakata

Artificial Intelligence

Author : Richard E. Neapolitan
Publisher : CRC Press
ISBN 13 : 1351384384
Total Pages : 532 pages
Book Rating : 4.3/5 (513 download)

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Book Synopsis Artificial Intelligence by : Richard E. Neapolitan

Download or read book Artificial Intelligence written by Richard E. Neapolitan and published by CRC Press. This book was released on 2018-03-12 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility and problem-solving approach, while providing new material and methods. The book is divided into five sections that focus on the most useful techniques that have emerged from AI. The first section of the book covers logic-based methods, while the second section focuses on probability-based methods. Emergent intelligence is featured in the third section and explores evolutionary computation and methods based on swarm intelligence. The newest section comes next and provides a detailed overview of neural networks and deep learning. The final section of the book focuses on natural language understanding. Suitable for undergraduate and beginning graduate students, this class-tested textbook provides students and other readers with key AI methods and algorithms for solving challenging problems involving systems that behave intelligently in specialized domains such as medical and software diagnostics, financial decision making, speech and text recognition, genetic analysis, and more.

Artificial Intelligence in the Age of Neural Networks and Brain Computing

Author : Robert Kozma
Publisher : Academic Press
ISBN 13 : 0323958168
Total Pages : 398 pages
Book Rating : 4.3/5 (239 download)

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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

Newsmakers

Author : Francesco Marconi
Publisher : Columbia University Press
ISBN 13 : 0231549350
Total Pages : 206 pages
Book Rating : 4.2/5 (315 download)

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Book Synopsis Newsmakers by : Francesco Marconi

Download or read book Newsmakers written by Francesco Marconi and published by Columbia University Press. This book was released on 2020-04-07 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Will the use of artificial intelligence (AI), algorithms, and smart machines be the end of journalism as we know it—or its savior? In Newsmakers, Francesco Marconi, who has led the development of the Associated Press and Wall Street Journal’s use of AI in journalism, offers a new perspective on the potential of these technologies. He explains how reporters, editors, and newsrooms of all sizes can take advantage of the possibilities they provide to develop new ways of telling stories and connecting with readers. Marconi analyzes the challenges and opportunities of AI through case studies ranging from financial publications using algorithms to write earnings reports to investigative reporters analyzing large data sets to outlets determining the distribution of news on social media. Newsmakers contends that AI can augment—not automate—the industry, allowing journalists to break more news more quickly while simultaneously freeing up their time for deeper analysis. Marshaling insights drawn from firsthand experience, Marconi maps a media landscape transformed by artificial intelligence for the better. In addition to considering the benefits of these new technologies, Marconi stresses the continuing need for editorial and institutional oversight. Newsmakers outlines the important questions that journalists and media organizations should consider when integrating AI and algorithms into their workflow. For journalism students as well as seasoned media professionals, Marconi’s insights provide much-needed clarity and a practical roadmap for how AI can best serve journalism.

Perceiving the Future Through New Communication Technologies

Author : James Katz
Publisher :
ISBN 13 : 9783030848842
Total Pages : 0 pages
Book Rating : 4.8/5 (488 download)

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Book Synopsis Perceiving the Future Through New Communication Technologies by : James Katz

Download or read book Perceiving the Future Through New Communication Technologies written by James Katz and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book updates a long standing problem: how do people understand and prepare for the future using the technologies at hand and that they expect to have imminently? Drawing on experts from a variety of fields, the volume provides novel and penetrating insights that reflect innovative research on both headline-gripping and historical problems. Organized in three sections, the first examines Artificial Intelligence (AI) and mobile communication as they both cause disruptions and solve problems at both personal and society-wide levels. The second section explores specific technologies in social contexts. Here the focus is on AI, robotics, and even smart speakers in real-world scenarios. The third and final section addresses deeper implications for how emerging media has been used to come to terms with the problem of what will happen next. At no other time in recent memory have people been so concerned about how to move from the disturbed current situation into an improved future state, one that promises a brighter future for all; in this regard, these timely and penetrating studies offer sound guidance. James E. Katz is Feld Professor of Emerging Media at Boston University's College of Communication, USA, where he directs its Division of Emerging Media Studies. His publications on the effects of artificial intelligence, social media, mobile communication, and robot-human interaction have been internationally recognized and widely translated. Among his recent volumes are Journalism and the Search for Truth in an Age of Social Media (with Kate Mays, 2019) and Philosophy of Emerging Media (with Juliet Floyd, 2015). Juliet Floyd is Professor of Philosophy at Boston University, USA. Her publications, translated into several languages, span the history and philosophy of logic, mathematics, language, symbolism, and new media, focusing especially on the history of twentieth century philosophy and philosophical aspects of emerging media. Her recent books include Wittgenstein's Annotations to Hardy's Course of Pure Mathematics (with Felix Mühlhölzer, 2020) and Wittgenstein's Philosophy of Mathematics (2021). Katie Schiepers is Division Administrator for Emerging Media Studies at Boston University, USA. She holds a Master of Philosophy in Classics and Master of Science in World Heritage Conservation and is currently pursuing advanced studies in educational policy.

New Applications of Artificial Intelligence

Author : Pedro Ponce
Publisher : BoD – Books on Demand
ISBN 13 : 9535125346
Total Pages : 182 pages
Book Rating : 4.5/5 (351 download)

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Book Synopsis New Applications of Artificial Intelligence by : Pedro Ponce

Download or read book New Applications of Artificial Intelligence written by Pedro Ponce and published by BoD – Books on Demand. This book was released on 2016-08-31 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has a complete set of applications of artificial neural networks that allow the reader to gain experience about the new systems for implementing and developing artificial intelligence (AI) methods, which can run in several digital systems. On the other hand, the book shows the newest algorithms of artificial intelligence that provide a wide spectrum of research areas in which AI can be deployed. There are a lot of books that address AI applications. However, this book shows the newest applications reached according with the technological changes that are presented nowadays. Those changes drastically appear in digital systems or other parallel areas that allow to improve the performance of AI algorithms. Hence, sometimes, the AI algorithms have to be redesigned in order to run in microcontrollers or FPGAs. The topics covered generate a structured book, so it could be used as a textbook, but it is designed to be accessible to a wide audience interested in AI.

AI 2018: Advances in Artificial Intelligence

Author : Tanja Mitrovic
Publisher : Springer
ISBN 13 : 3030039919
Total Pages : 863 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis AI 2018: Advances in Artificial Intelligence by : Tanja Mitrovic

Download or read book AI 2018: Advances in Artificial Intelligence written by Tanja Mitrovic and published by Springer. This book was released on 2018-12-03 with total page 863 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 31st Australasian Joint Conference on Artificial Intelligence, AI 2018, held in Wellington, New Zealand, in December 2018. The 50 full and 26 short papers presented in this volume were carefully reviewed and selected from 125 submissions. The paper were organized in topical sections named: agents, games and robotics; AI applications and innovations; computer vision; constraints and search; evolutionary computation; knowledge representation and reasoning; machine learning and data mining; planning and scheduling; and text mining and NLP.

Fundamentals of the New Artificial Intelligence

Author : Toshinori Munakata
Publisher : Springer
ISBN 13 : 9781848006201
Total Pages : 256 pages
Book Rating : 4.0/5 (62 download)

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Book Synopsis Fundamentals of the New Artificial Intelligence by : Toshinori Munakata

Download or read book Fundamentals of the New Artificial Intelligence written by Toshinori Munakata and published by Springer. This book was released on 2009-10-12 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book was originally titled “Fundamentals of the New Artificial Intelligence: Beyond Traditional Paradigms.” I have changed the subtitle to better represent the contents of the book. The basic philosophy of the original version has been kept in the new edition. That is, the book covers the most essential and widely employed material in each area, particularly the material important for real-world applications. Our goal is not to cover every latest progress in the fields, nor to discuss every detail of various techniques that have been developed. New sections/subsections added in this edition are: Simulated Annealing (Section 3.7), Boltzmann Machines (Section 3.8) and Extended Fuzzy if-then Rules Tables (Sub-section 5.5.3). Also, numerous changes and typographical corrections have been made throughout the manuscript. The Preface to the first edition follows. General scope of the book Artificial intelligence (AI) as a field has undergone rapid growth in diversification and practicality. For the past few decades, the repertoire of AI techniques has evolved and expanded. Scores of newer fields have been added to the traditional symbolic AI. Symbolic AI covers areas such as knowledge-based systems, logical reasoning, symbolic machine learning, search techniques, and natural language processing. The newer fields include neural networks, genetic algorithms or evolutionary computing, fuzzy systems, rough set theory, and chaotic systems.

Empowering Artificial Intelligence Through Machine Learning

Author : Nedunchezhian Raju
Publisher : CRC Press
ISBN 13 : 1000089428
Total Pages : 264 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Empowering Artificial Intelligence Through Machine Learning by : Nedunchezhian Raju

Download or read book Empowering Artificial Intelligence Through Machine Learning written by Nedunchezhian Raju and published by CRC Press. This book was released on 2022-06-16 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new volume, Empowering Artificial intelligence Through Machine Learning: New Advances and Applications, discusses various new applications of machine learning, a subset of the field of artificial intelligence. Artificial intelligence is considered to be the next-big-game changer in research and technology, The volume looks at how computing has enabled machines to learn, making machine and tools become smarter in many sectors, including science and engineering, healthcare, finance, education, gaming, security, and even agriculture, plus many more areas. Topics include techniques and methods in artificial intelligence for making machines intelligent, machine learning in healthcare, using machine learning for credit card fraud detection, using artificial intelligence in education using gaming and automatization with courses and outcomes mapping, and much more. The book will be valuable to professionals, faculty, and students in electronics and communication engineering, telecommunication engineering, network engineering, computer science and information technology.

The AI Marketing Canvas

Author : Raj Venkatesan
Publisher : Stanford University Press
ISBN 13 : 1503628043
Total Pages : 295 pages
Book Rating : 4.5/5 (36 download)

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Book Synopsis The AI Marketing Canvas by : Raj Venkatesan

Download or read book The AI Marketing Canvas written by Raj Venkatesan and published by Stanford University Press. This book was released on 2021-05-18 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a direct, actionable plan CMOs can use to map out initiatives that are properly sequenced and designed for success—regardless of where their marketing organization is in the process. The authors pose the following critical questions to marketers: (1) How should modern marketers be thinking about artificial intelligence and machine learning? and (2) How should marketers be developing a strategy and plan to implement AI into their marketing toolkit? The opening chapters provide marketing leaders with an overview of what exactly AI is and how is it different than traditional computer science approaches. Venkatesan and Lecinski, then, propose a best-practice, five-stage framework for implementing what they term the "AI Marketing Canvas." Their approach is based on research and interviews they conducted with leading marketers, and offers many tangible examples of what brands are doing at each stage of the AI Marketing Canvas. By way of guidance, Venkatesan and Lecinski provide examples of brands—including Google, Lyft, Ancestry.com, and Coca-Cola—that have successfully woven AI into their marketing strategies. The book concludes with a discussion of important implications for marketing leaders—for your team and culture.

Artificial Intelligence for Autonomous Networks

Author : Mazin Gilbert
Publisher : CRC Press
ISBN 13 : 1351130145
Total Pages : 498 pages
Book Rating : 4.3/5 (511 download)

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Book Synopsis Artificial Intelligence for Autonomous Networks by : Mazin Gilbert

Download or read book Artificial Intelligence for Autonomous Networks written by Mazin Gilbert and published by CRC Press. This book was released on 2018-09-25 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for Autonomous Networks introduces the autonomous network by juxtaposing two unique technologies and communities: Networking and AI. The book reviews the technologies behind AI and software-defined network/network function virtualization, highlighting the exciting opportunities to integrate those two worlds. Outlining the new frontiers for autonomous networks, this book highlights their impact and benefits to consumers and enterprise customers. It also explores the potential of the autonomous network for transforming network operation, cyber security, enterprise services, 5G and IoT, infrastructure monitoring and traffic optimization, and finally, customer experience and care. With contributions from leading experts, this book will provide an invaluable resource for network engineers, software engineers, artificial intelligence, and machine learning researchers.