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Inteligência Artificial
by Patrícia Pinto Smart ReadsOs Empreendedores Elon Musk, Stephen Hawking e Bill Gates, proclamaram a Inteligência Artificial como uma possível ameaça no futuro, caso o Homem não faça uso desta tecnologia com sabedoria. Será verdade? Será possível criar, muito em breve, uma programação que dê um raciocínio e emoções aos dispositivos da Inteligência Artificial? Será, até mesmo, possível termos um candidato tipo-humano, projetado pela I.A, a concorrer às eleiçóes presidênciais no futuro? Estas são as questões e ideologias a ser abordadas no âmbito da I.A e foram aprofundadas no livro: “Inteligência Artificial: Compreender Em Que Consiste a I. A. e O Que Implica a Aprendizagem Das Máquinas”. Este livro foi elaborado de forma a dar uma visão geral e concisa acerca dos temas relacionados com o início da Era das ‘máquinas inteligentes’ e sobre a nossa abordagem atual dos tempos moderna, assim como o impacto das novas tecnologias no futuro e na existência da humanidade. Género: COMPUTADORES / Processamento de Dados Género Secundário: NEGÓCIOS & ECONOMIA / Geral. Línguas: Inglês, Português, outras versões poderão estar disponíveis. Palavras-chave: Inteligência Artificial, I.A, Aprendizagem das Máquinas, a Inteligência das Máquinas, Tecnologias, Avanços Tecnológicos, Computação, Automatização. Número de páginas: 42.
Intellectual Capital, Smart Technologies and Digitalization: Emerging Issues and Opportunities (SIDREA Series in Accounting and Business Administration)
by Daniela Mancini Rosa Lombardi Maria Serena ChiucchiThis book treats intellectual capital, smart technologies, and digitalization processes as levers of corporate competitiveness and global value creation. This book is based on theoretical and practical research output from the STEDIC SIDREA Group. It uses several methodologies to discover features and pillars on intellectual capital such as human capital, relational capital, and structural capital as well as smart technologies such as artificial intelligence, Internet of Things, big data, and digitalization.
Intellectual Property and Open Source: A Practical Guide to Protecting Code
by Van Lindberg"Clear, correct, and deep, this is a welcome addition to discussions of law and computing for anyone -- even lawyers!"-- Lawrence Lessig, Professor of Law at Stanford Law School and founder of the Stanford Center for Internet and SocietyIf you work in information technology, intellectual property is central to your job -- but dealing with the complexities of the legal system can be mind-boggling. This book is for anyone who wants to understand how the legal system deals with intellectual property rights for code and other content. You'll get a clear look at intellectual property issues from a developer's point of view, including practical advice about situations you're likely to encounter.Written by an intellectual property attorney who is also a programmer, Intellectual Property and Open Source helps you understand patents, copyrights, trademarks, trade secrets, and licenses, with special focus on the issues surrounding open source development and the GPL. This book answers questions such as:How do open source and intellectual property work together?What are the most important intellectual property-related issues when starting a business or open source project?How should you handle copyright, licensing and other issues when accepting a patch from another developer?How can you pursue your own ideas while working for someone else?What parts of a patent should be reviewed to see if it applies to your work?When is your idea a trade secret?How can you reverse engineer a product without getting into trouble?What should you think about when choosing an open source license for your project?Most legal sources are too scattered, too arcane, and too hard to read. Intellectual Property and Open Source is a friendly, easy-to-follow overview of the law that programmers, system administrators, graphic designers, and many others will find essential.
IntelliJ IDEA Essentials
by Jaroslaw KrochmalskiThis book is for developers who want to work smarter so they can focus their efforts on the details that will give them the advantage. This book is tailor-made for developers who want to move from NetBeans and Eclipse to experience the power and functionality of IntelliJ IDEA.
Intelligence - Theories and Applications
by Michael Wink Joachim Funke Rainer M. Holm-HadullaIntelligence allows people to understand events and to shape their surrounding environment. This book delves deeper into the theories and applications of intelligence, showing it is a multifaceted concept —defined and explained differently by prestigious experts of various disciplines in their own research. The book provides interdisciplinary connections of intelligence as it relates to a variety of clearly outlined subject areas, and should lead to a deep understanding of the phenomenon as it pertains to practical applications in different domains. Contributors in this volume present results from evolutionary biology, mathematics, artificial intelligence, medicine, psychology, cultural studies, economy, political sciences and philosophy. Individual scientific models are integrated in an interdisciplinary concept of wisdom. This volume will help enhance the common understanding of intelligence for fellow researchers and scientists alike.
Intelligence Communication in the Digital Era: Transforming Security, Defence and Business
by Randolph H. Pherson Rubén ArcosThis edited volume argues that producers of analysis need to shift from producing static, narrative products to much more dynamic, digitally-based platforms in order to remain competitive and relevant.
Intelligence Computation and Applications: 14th International Symposium, ISICA 2023, Guangzhou, China, November 18–19, 2023, Revised Selected Papers, Part I (Communications in Computer and Information Science #2146)
by Yong Liu Kangshun LiThis two-volume set, CCIS 2146 and CCIS 2147, constitutes the refereed proceedings of the 14th International Symposium on Intelligence Computation and Applications, ISICA 2023, held in Guangzhou, China, during November 18–19, 2023. The 82 full papers included in these proceedings were carefully reviewed and selected from 178 submissions. The papers presented in these two volumes are organized in the following topical sections: Part I: Frontiers of evolutionary Intelligent Optimization Algorithms; Exploration of computer vision; Machine learning and its applications. Part II: Machine Learning and its applications; Big data analysis and Information security; Intelligent application of computer.
Intelligence Computation and Applications: 14th International Symposium, ISICA 2023, Guangzhou, China, November 18–19, 2023, Revised Selected Papers, Part II (Communications in Computer and Information Science #2147)
by Yong Liu Kangshun LiThis two-volume set, CCIS 2146 and CCIS 2147, constitutes the refereed proceedings of the 14th International Symposium on Intelligence Computation and Applications, ISICA 2023, held in Guangzhou, China, during November 18–19, 2023. The 82 full papers included in these proceedings were carefully reviewed and selected from 178 submissions. The papers presented in these two volumes are organized in the following topical sections: Part I: Frontiers of evolutionary Intelligent Optimization Algorithms; Exploration of computer vision; Machine learning and its applications. Part II: Machine Learning and its applications; Big data analysis and Information security; Intelligent application of computer.
Intelligence Enabled Research: DoSIER 2020 (Advances in Intelligent Systems and Computing #1279)
by Siddhartha Bhattacharyya Paramartha Dutta Kakali DattaThis book gathers extended versions of papers presented at DoSIER 2020 (the Second Doctoral Symposium on Intelligence Enabled Research, held at Visva-Bharati University, Santiniketan, West Bengal, India, during 12–13 August 2020). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.
Intelligence Enabled Research: DoSIER 2021 (Studies in Computational Intelligence #1029)
by Siddhartha Bhattacharyya Sourav De Gautam DasThis book gathers extended versions of papers presented at DoSIER 2021 (the 2021 Third Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during November 12–13, 2021). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.
Intelligence Science I: Second IFIP TC 12 International Conference, ICIS 2017, Shanghai, China, October 25-28, 2017, Proceedings (IFIP Advances in Information and Communication Technology #510)
by Zhongzhi Shi, Ben Goertzel and Jiali FengThis book constitutes the refereed proceedings of the Second International Conference on Intelligence Science, ICIS 2017, held in Shanghai, China, in October 2017.The 38 full papers and 9 short papers presented were carefully reviewed and selected from 82 submissions. They deal with key issues in intelligence science and have been organized in the following topical sections: theory of intelligence science; cognitive computing; big data analysis and machine learning; machine perception; intelligent information processing; and intelligent applications.
Intelligence Science II: Third IFIP TC 12 International Conference, ICIS 2018, Beijing, China, November 2-5, 2018, Proceedings (IFIP Advances in Information and Communication Technology #539)
by Zhongzhi Shi Cyriel Pennartz Tiejun HuangThis book constitutes the refereed proceedings of the Third International Conference on Intelligence Science, ICIS 2018, held in Beijing China, in November 2018.The 44 full papers and 5 short papers presented were carefully reviewed and selected from 85 submissions. They deal with key issues in intelligence science and have been organized in the following topical sections: brain cognition; machine learning; data intelligence; language cognition; perceptual intelligence; intelligent robots; fault diagnosis; and ethics of artificial intelligence.
Intelligence Science III: 4th IFIP TC 12 International Conference, ICIS 2020, Durgapur, India, February 24–27, 2021, Revised Selected Papers (IFIP Advances in Information and Communication Technology #623)
by Samarjit Kar Mihir Chakraborty Zhongzhi ShiThis book constitutes the refereed post-conference proceedings of the 4th International Conference on Intelligence Science, ICIS 2020, held in Durgapur, India, in February 2021 (originally November 2020). The 23 full papers and 4 short papers presented were carefully reviewed and selected from 42 submissions. One extended abstract is also included. They deal with key issues in brain cognition; uncertain theory; machine learning; data intelligence; language cognition; vision cognition; perceptual intelligence; intelligent robot; and medical artificial intelligence.
Intelligence Science IV: 5th IFIP TC 12 International Conference, ICIS 2022, Xi'an, China, October 28–31, 2022, Proceedings (IFIP Advances in Information and Communication Technology #659)
by Zhongzhi Shi Yaochu Jin Xiangrong ZhangThis book constitutes the refereed proceedings of the 5th International Conference on Intelligence Science, ICIS 2022, held in Xi'an, China, in August 2022. The 41 full and 5 short papers presented in this book were carefully reviewed and selected from 85 submissions. They were organized in topical sections as follows: Brain cognition; machine learning; data intelligence; language cognition; remote sensing images; perceptual intelligence; wireless sensor; and medical artificial intelligence.
Intelligence Science V: 6th IFIP TC 12 International Conference, ICIS 2024, Nanjing, China, October 25–28, 2024, Proceedings (IFIP Advances in Information and Communication Technology #720)
by Qi Tian Zhongzhi Shi Michael WitbrockThis book constitutes the refereed proceedings of the 6th IFIP TC 12 International Conference on Intelligence Science, ICIS 2024, held in Nanjing, China, in October 25-28, 2024. The 23 full papers and 2 short papers presented here were carefully reviewed and selected from 32 submissions. These papers have been categorized into the following sections: Machine Learning; Causal Reasoning; Large Language Model; Intelligent Robot; Perceptual Intelligence; AI for Science; Medical Artificial Intelligence.
Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques
by Zhi-Hua Zhou Xiaofei He Xinbo Gao Yanning Zhang Zhi-Yong Liu Baochuan Fu Fuyuan Hu Zhancheng ZhangThe two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015, held in Suzhou, China, in June 2015. The total of 126 papers presented in the proceedings was carefully reviewed and selected from 416 submissions. They deal with big data, neural networks, image processing, computer vision, pattern recognition and graphics, object detection, dimensionality reduction and manifold learning, unsupervised learning and clustering, anomaly detection, semi-supervised learning.
Intelligence Science and Big Data Engineering. Big Data and Machine Learning: 9th International Conference, IScIDE 2019, Nanjing, China, October 17–20, 2019, Proceedings, Part II (Lecture Notes in Computer Science #11936)
by Liang Xiao Jian Yang Zhen Cui Jinshan Pan Shanshan ZhangThe two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019, held in Nanjing, China, in October 2019. The 84 full papers presented were carefully reviewed and selected from 252 submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics, bioinformatics, computational biology and brain-computer interfaces, as well as advances in fundamental pattern recognition techniques relevant to image processing, computer vision and machine learning.
Intelligence Science and Big Data Engineering. Image and Video Data Engineering
by Zhi-Hua Zhou Xiaofei He Xinbo Gao Yanning Zhang Zhi-Yong Liu Baochuan Fu Fuyuan Hu Zhancheng ZhangThe two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015, held in Suzhou, China, in June 2015. The total of 126 papers presented in the proceedings was carefully reviewed and selected from 416 submissions. They deal with big data, neural networks, image processing, computer vision, pattern recognition and graphics, object detection, dimensionality reduction and manifold learning, unsupervised learning and clustering, anomaly detection, semi-supervised learning.
Intelligence Science and Big Data Engineering. Visual Data Engineering: 9th International Conference, IScIDE 2019, Nanjing, China, October 17–20, 2019, Proceedings, Part I (Lecture Notes in Computer Science #11935)
by Liang Xiao Jian Yang Zhen Cui Jinshan Pan Shanshan ZhangThe two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019, held in Nanjing, China, in October 2019. The 84 full papers presented were carefully reviewed and selected from 252 submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics, bioinformatics, computational biology and brain-computer interfaces, as well as advances in fundamental pattern recognition techniques relevant to image processing, computer vision and machine learning.
Intelligence Science and Big Data Engineering: 7th International Conference, IScIDE 2017, Dalian, China, September 22-23, 2017, Proceedings (Lecture Notes in Computer Science #10559)
by Yi Sun, Huchuan Lu, Lihe Zhang, Jian Yang and Hua HuangThis book constitutes the proceedings of the 7th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2017, held in Dalian, China, in September 2017.The 48 full papers and 14 short papers presented in this volume were carefully reviewed and selected from 121 submissions. They deal with statistics and learning; deep neural networks; faces and people; objects; classification and clustering; imaging; biomedical signal processing; and recommendation.
Intelligence Science and Big Data Engineering: 8th International Conference, IScIDE 2018, Lanzhou, China, August 18–19, 2018, Revised Selected Papers (Lecture Notes in Computer Science #11266)
by Kai Yu Jiwen Lu Yuxin Peng Xingpeng JiangThis book constitutes the proceedings of the 8th International Conference on Intelligence Science and Big DataEngineering, IScIDE 2018, held in Lanzhou, China, in August 2018.The 59 full papers presented in this book were carefully reviewed and selected from 121 submissions.They are grouped in topical sections on robots and intelligent systems; statistics and learning; deep learning; objects and language; classification and clustering; imaging; and biomedical signal processing.
Intelligence Studies in Business: A Guide to Navigating the Competitive Landscape (Management for Professionals)
by Klaus Solberg SöilenThis book explores the evolution of intelligence research over the past two decades, emphasizing the development and implementation of intelligence functions in private and public organizations. A comprehensive framework for conducting intelligence analysis is presented, establishing and operating intelligence teams, and addressing the adjacent ethical questions raised by the nature of this field of study. The key themes addressed include the methodology of intelligence analysis, the establishment of effective intelligence teams, and the concept of "disruptive intelligence," an emerging term referring to the identification of innovations with the potential to transform industries, making products more accessible and affordable. The book argues that recognizing these disruptions early allows incumbents to protect their businesses and new entrants to capitalize on emerging opportunities. This book stands out by blending theoretical insights with practical applications, making it an essential read for those involved in intelligence, strategic planning, and innovation management.
Intelligence Support Systems: Technologies for Lawful Intercepts
by Paul Hoffmann Kornel TerplanTelecommunications service providers face increasing information assistance requests to help law enforcement while they simultaneously struggle with CapEx and OpEx reductions. On the other hand, law enforcement agencies face expensive telecommunication interface options for data collection as they battle with a growing backlog of subpoena requests.
Intelligence and Security Informatics
by Hsinchun Chen Michael Chau G. Alan WangThisbook constitutes the refereed proceedings of the 11th Pacific Asia Workshop onIntelligence and Security Informatics, PAISI 2016, held in Auckland, NewZealand, in April 2016 in conjunction with PAKDD 2016, the 20th Pacific-AsiaConference on Knowledge Discovery and Data Mining. The7 revised full papers presented together with 7 short papers were carefullyreviewed and selected from 23 submissions. The papers cover network-based dataanalytics, data and text mining, and cyber security and infrastructureprotection.
Intelligence and Security Informatics
by Hsinchun Chen Michael Chau G. Alan WangThe IEEE International Conference on Intelligence and Security Informatics (ISI) and Pacific Asia Workshop on Intelligence and Security Informatics (PAISI) conference series (http://www. isiconference. org) have drawn significant attention in the recent years. Intelligence and Security Informatics is concerned with the study of the dev- opment and use of advanced information technologies and systems for national, int- national, and societal security-related applications. The ISI conference series have brought together academic researchers, law enforcement and intelligence experts, - formation technology consultant and practitioners to discuss their research and pr- tice related to various ISI topics including ISI data management, data and text mining for ISI applications, terrorism informatics, deception and intent detection, terrorist and criminal social network analysis, public health and bio-security, crime analysis, - ber-infrastructure protection, transportation infrastructure security, policy studies and evaluation, information assurance, among others. In this book, we collect the work of the most active researchers in the area. Topics include data and text mining in terr- ism, information sharing, social network analysis, Web-based intelligence monitoring and analysis, crime data analysis, infrastructure protection, deception and intent det- tion and more. Scope and Organization The book is organized in four major areas. The first unit focuses on the terrorism - formatics and data mining. The second unit discusses the intelligence and crime analysis. The third unit covers access control, infrastructure protection, and privacy. The forth unit presents surveillance and emergency response.