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Books on the topic 'Other Artificial Intelligence'

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Published: 4 June 2021
Last updated: 21 February 2023

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1

Jaillant, Lise, ed. Archives, Access and Artificial Intelligence. Bielefeld, Germany: Bielefeld University Press / transcript Verlag, 2022. http://dx.doi.org/10.14361/9783839455845.

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Digital archives are transforming the Humanities and the Sciences. Digitized collections of newspapers and books have pushed scholars to develop new, data-rich methods. Born-digital archives are now better preserved and managed thanks to the development of open-access and commercial software. Digital Humanities have moved from the fringe to the center of academia. Yet, the path from the appraisal of records to their analysis is far from smooth. This book explores crossovers between various disciplines to improve the discoverability, accessibility, and use of born-digital archives and other cultural assets.
2

American Nuclear Society Topical Meeting on Artificial Intelligence and Other Innovative Computer Applications (1987 Snowbird, Utah). Artificial intelligence and other innovative computer applications in the nuclear industry. New York: Plenum Press, 1988.

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3

Majumdar, M. Catherine, Debu Majumdar, and John I. Sackett, eds. Artificial Intelligence and Other Innovative Computer Applications in the Nuclear Industry. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-1009-9.

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4

Majumdar, M. Catherine. Artificial Intelligence and Other Innovative Computer Applications in the Nuclear Industry. Boston, MA: Springer US, 1988.

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5

Holmes, Dawn E. Data Mining: Foundations and Intelligent Paradigms: Volume 3: Medical, Health, Social, Biological and other Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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6

Castro, Leandro N. De. Artificial immune systems: A new computational intelligence approach. London: Springer, 2002.

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7

Joseph, Williams. BOTS and other Internet beasties. Indianapolis, IN: Sams.net, 1996.

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8

International Joint Conference on Artificial Intelligence (12th 1991 Sydney, Australia). IJCAI-91: Proceedings of the Twelfth International Conference on Artificial Intelligence, Darling Harbour, Sydney, Australia, 24-30 August 1991 ; sponsored by the International Joint Conferences on Artificial Intelligence, Inc. (IJCAII) ; co-sponsored and hosted by the National Committee on Artificial Intelligence and Expert Systems (NCAIES of the Australian Computer Society (ACS) ; with support and cooperation from the Australian Government and other Australian corporations and institutions. [S.l.]: IJCAII, 1991.

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9

International Conference on Computer Vision (8th 2001 Vancouver, British Columbia). Eighth IEEE International Conference on Computer Vision: July 7-14, 2001, Vancouver, British Columbia, Canada. Los Alamitos, Calif: IEEE Computer Society, 2001.

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10

Rezaul, Begg, and Palaniswami Marimuthu, eds. Computational intelligence for movement sciences: Neural networks, support vector machines, and other emerging technologies. Hershey, PA: Idea Group Pub., 2006.

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11

Card, Orson Scott. Earthborn. New York: Tor, 1995.

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12

Jensen, Kurt. Transactions on Petri Nets and Other Models of Concurrency VI. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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13

IEA/AIE, 2006 (2006 Annecy France). Advances in applied artificial intelligence: 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2006, Annecy, France, June 27-30, 2006 : proceedings. Berlin: Springer, 2006.

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14

Jiang, He. Advanced Research in Applied Artificial Intelligence: 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012, Dalian, China, June 9-12, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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15

Bunt, Harry. Advances in Probabilistic and Other Parsing Technologies. Dordrecht: Springer Netherlands, 2000.

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16

Penrose, Roger. The emperor's new mind: Concerning computers, minds, and the laws of physics. New York, N.Y., U.S.A: Penguin Books, 1991.

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17

Penrose, Roger. The emperor's new mind: Concerning computers, minds, and the laws of physics. London, Eng: Vintage, 1990.

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18

Penrose, Roger. The emperor's new mind: Concerning computers, minds, and the laws of physics. Oxford: Oxford University Press, 1989.

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19

Penrose, Roger. La nueva mente del emperador. Madrid: Debolsillo, 2009.

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20

Penrose, Roger. La nueva mente del emperador. 2nd ed. Madrid: Mondadori, 1991.

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21

Penrose, Roger. The emperor's new mind: Concerning computers, minds, and the laws of physics. Oxford: Oxford University Press, 1999.

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22

Proudfoot, Diane, and B. Jack Copeland. Artificial Intelligence. Edited by Eric Margolis, Richard Samuels, and Stephen P. Stich. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195309799.013.0007.

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In this article the central philosophical issues concerning human-level artificial intelligence (AI) are presented. AI largely changed direction in the 1980s and 1990s, concentrating on building domain-specific systems and on sub-goals such as self-organization, self-repair, and reliability. Computer scientists aimed to construct intelligence amplifiers for human beings, rather than imitation humans. Turing based his test on a computer-imitates-human game, describing three versions of this game in 1948, 1950, and 1952. The famous version appears in a 1950 article inMind, ‘Computing Machinery and Intelligence’ (Turing 1950). The interpretation of Turing's test is that it provides an operational definition of intelligence (or thinking) in machines, in terms of behavior. ‘Intelligent Machinery’ sets out the thesis that whether an entity is intelligent is determined in part by our responses to the entity's behavior. Wittgenstein frequently employed the idea of a human being acting like a reliable machine. A ‘living reading-machine’ is a human being or other creature that is given written signs, for example Chinese characters, arithmetical symbols, logical symbols, or musical notation, and who produces text spoken aloud, solutions to arithmetical problems, and proofs of logical theorems. Wittgenstein mentions that an entity that manipulates symbols genuinely reads only if he or she has a particular history, involving learning and training, and participates in a social environment that includes normative constraints and further uses of the symbols.
23

Incentive Publications by World Book (Firm) Staff. Artificial Intelligence and Other Computer Tech. World Book, Incorporated, 2019.

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24

Shwartz, Steven. Evil Robots, Killer Computers, and Other Myths. Fast Company Press, 2021.

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25

Shwartz, Steven. Evil Robots, Killer Computers, and Other Myths. River Grove Books, 2021.

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26

Ali, Moonis, Jeng-Shyang Pan, Shyi-Ming Chen, and Mong-Fong Horng. Modern Advances in Applied Intelligence: 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent ... II. Springer, 2014.

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27

Geraci, Robert M. Futures of Artificial Intelligence. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9788194831679.001.0001.

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Twenty-first-century life is increasingly governed by artificial intelligence (AI) technologies such as machine learning, big data analysis, facial recognition, and robotics. For decades, an ideology of apocalyptic progress and cosmic transformation has accompanied the advancement of AI in the U.S.; that vision is intimately connected to transhumanism—the idea that humanity can transcend its limits, even mortality, using technology. Based on contributions from science and science fiction, advocates of such Apocalyptic AI suggest that the world will soon see godlike machine intelligence and that human beings will upload their minds into immortal machine bodies. The arrival of this ideology in India raises questions about how global cultures can contribute to AI technology and our beliefs about AI. These beliefs have gained a foothold in Indian visions of AI, but they have not been accepted uncritically; rather, Indian scientists and futurists revise the transhumanist vision and illustrate how traditional Hindu values can add to the global perspective. By describing the arrival and reconfiguration of transhumanist ideas in India, this book reveals how the nexus of religion and technology contributes to public life and our modern self-understanding while suggesting that the apocalyptic approach to AI should be tempered by other visions. By tracing the movement of Apocalyptic AI into India and exploring Indian efforts to redefine those transhumanist aspirations, Futures of Artificial Intelligence opens the door for rethinking our global approach to AI and advocates for technologies and visions of technology that advance human flourishing.
28

Boden, Margaret A. 1. What is artificial intelligence? Oxford University Press, 2018. http://dx.doi.org/10.1093/actrade/9780199602919.003.0001.

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Artificial intelligence (AI) seeks to make computers do the sorts of things that minds can do, which involves psychological skills such as perception, association, prediction, planning, and motor control. Intelligence is a richly structured space of diverse information-processing capacities. Accordingly, AI uses many different techniques, addressing many different tasks. ‘What is Artificial Intelligence?’ explains the two main aims of AI: one being technological and the other scientific. It looks at AI’s influence on the life sciences and philosophy. Can any AI system possess real intelligence, creativity, or life? It also considers how AI began, virtual machines, the major types of AI, and cybernetics.
29

Lee, Jyh-An, Reto Hilty, and Kung-Chung Liu, eds. Artificial Intelligence and Intellectual Property. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198870944.001.0001.

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This book explores artificial intelligence (AI), which has become omnipresent in today's business environment: from chatbots to healthcare services to various ways of creating useful information. While AI has been increasingly used to optimize various creative and innovative processes, the integration of AI into products, services, and other operational procedures raises significant concerns across virtually all areas of intellectual property (IP) law. Thus, AI has drawn extensive attention from IP experts globally and there have been some works on specific issues in the intersection between AI and IP. Surprisingly, however, there has not been a book providing a broad and comprehensive picture from the perspectives of the very nature of AI technology, its commercial implications, its interaction with different kinds of IP, IP administration, software and data, its social and economic impact on the innovation policy, and ultimately AI's eligibility as a legal entity. The book aims to fill the gap.
30

Wells, Martha. Artificial condition. 2018.

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31

Hennig, Nicole. Siri, Alexa, and Other Digital Assistants: The Librarian's Quick Guide. Libraries Unlimited, 2018.

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32

Hennig, Nicole. Siri, Alexa, and Other Digital Assistants: The Librarian's Quick Guide. ABC-CLIO, LLC, 2018.

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33

Kim, Yong-Ku. Frontiers in Psychiatry: Artificial Intelligence, Precision Medicine, and Other Paradigm Shifts. Springer, 2019.

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34

Kim, Yong-Ku. Frontiers in Psychiatry: Artificial Intelligence, Precision Medicine, and Other Paradigm Shifts. Springer Singapore Pte. Limited, 2020.

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35

Majumdar, M. Catherine. Artificial Intelligence and Other Innovative Computer Applications in the Nuclear Industry. Springer, 2013.

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36

Kim, Yong-Ku. Frontiers in Psychiatry: Artificial Intelligence, Precision Medicine, and Other Paradigm Shifts. Springer, 2019.

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37

Majumdar, M. Catherine. Artificial Intelligence and Other Innovative Computer Applications in the Nuclear Industry. Springer, 1988.

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38

Vallor, Shannon, and George A. Bekey. Artificial Intelligence and the Ethics of Self-Learning Robots. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190652951.003.0022.

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The convergence of robotics technology with the science of artificial intelligence is rapidly enabling the development of robots that emulate a wide range of intelligent human behaviors. Recent advances in machine learning techniques have produced artificial agents that can acquire highly complex skills formerly thought to be the exclusive province of human intelligence. These developments raise a host of new ethical concerns about the responsible design, manufacture, and use of robots enabled with artificial intelligence—particularly those equipped with self-learning capacities. While the potential benefits of self-learning robots are immense, their potential dangers are equally serious. While some warn of a future where AI escapes the control of its human creators or even turns against us, this chapter focuses on other, far less cinematic risks of AI that are much nearer to hand, requiring immediate study and action by technologists, lawmakers, and other stakeholders.
39

Ali, Moonis, and Richard Dapoigny. Advances in Applied Artificial Intelligence: 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2006, Annecy, France, June 27-30, 2006, Proceedings. Springer London, Limited, 2006.

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40

Peng, Shin-yi, Ching-Fu Lin, and Thomas Streinz, eds. Artificial Intelligence and International Economic Law. Cambridge University Press, 2021. http://dx.doi.org/10.1017/9781108954006.

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Artificial intelligence (AI) technologies are transforming economies, societies, and geopolitics. Enabled by the exponential increase of data that is collected, transmitted, and processed transnationally, these changes have important implications for international economic law (IEL). This volume examines the dynamic interplay between AI and IEL by addressing an array of critical new questions, including: How to conceptualize, categorize, and analyze AI for purposes of IEL? How is AI affecting established concepts and rubrics of IEL? Is there a need to reconfigure IEL, and if so, how? Contributors also respond to other cross-cutting issues, including digital inequality, data protection, algorithms and ethics, the regulation of AI-use cases (autonomous vehicles), and systemic shifts in e-commerce (digital trade) and industrial production (fourth industrial revolution). This title is also available as Open Access on Cambridge Core.
41

Ali, Moonis, Jeng-Shyang Pan, Shyi-Ming Chen, and Mong-Fong Horng. Modern Advances in Applied Intelligence: 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Kaohsiung, Taiwan, June 3-6, 2014, Proceedings, Part II. Springer London, Limited, 2014.

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42

Ali, Moonis, Jeng-Shyang Pan, Shyi-Ming Chen, and Mong-Fong Horng. Modern Advances in Applied Intelligence: 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Kaohsiung, Taiwan, June 3-6, 2014, Proceedings, Part I. Springer London, Limited, 2014.

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43

Ali, Moonis, Chang-Hwan Lee, Young Sig Kwon, Juntae Kim, and Yongdai Kim. Current Approaches in Applied Artificial Intelligence: 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, Seoul, South Korea, June 10-12, 2015, Proceedings. Springer, 2015.

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44

Sadaoui, Samira, Moonis Ali, Malek Mouhoub, and Otmane Ait Mohamed. Recent Trends and Future Technology in Applied Intelligence: 31st International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2018, Montreal, QC, Canada, June 25-28, 2018, Proceedings. Springer International Publishing AG, 2018.

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45

Jain, Lakhmi C., and Dawn E. Holmes. Data Mining : Foundations and Intelligent Paradigms : Volume 3: Medical, Health, Social, Biological and other Applications. Springer, 2014.

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46

Jain, Lakhmi C., and Dawn E. Holmes. Data Mining : Foundations and Intelligent Paradigms : VOLUME 2: Statistical, Bayesian, Time Series and Other Theoretical Aspects. Springer Berlin / Heidelberg, 2014.

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47

(Editor), Rezaul Begg, and Marimuthu Palaniswami (Editor), eds. Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques (Computational Intelligence and Its Applications Series). Idea Group Publishing, 2006.

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48

(Editor), A. F. Shapiro, and L. C. Jain (Editor), eds. Intelligent and Other Computational Techniques in Insurance: Theory and Applications (Series on Innovative Intelligence, 6). World Scientific Publishing Company, 2003.

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49

Castro, Leandro Nunes de, and Jonathan Timmis. Artificial Immune Systems: A New Computational Intelligence Approach. Springer, 2002.

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50

Wilson, Daniel H. Guardian angels & other monsters: Stories. 2018.

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