Advances in Artificial Intelligence and Security, Sun

Автор: Peter Norvig
Название: Paradigms of Artificial Intelligence Programming,
ISBN: 1558601910 ISBN-13(EAN): 9781558601918
Издательство: Elsevier Science
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Цена: 63990.00 T
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Описание: Paradigms of AI Programming teaches advanced Common Lisp techniques in the context of building major AI systems.

Автор: Maosong Sun, Xiaojie Wang, Baobao Chang
Название: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
ISBN: 3319690043 ISBN-13(EAN): 9783319690049
Издательство: Springer
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Цена: 35330.00 T
Наличие на складе: Есть
Описание: This book constitutes the proceedings of the 16th China National Conference on Computational Linguistics, CCL 2017, and the 5th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2017, held in Nanjing, China, in October 2017. Minority language information processing.

Автор: Derek Anderson; Robert Niewiadomski
Название: Cultural and social implications of artificial intelligence in education /
ISBN: 1522577939 ISBN-13(EAN): 9781522577935
Издательство: Mare Nostrum (Eurospan)
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Цена: 154660.00 T
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Описание: Artificial intelligence serves as a catalyst for transformation in the field of education. This shift in the educational paradigm has a profound impact on the way we live, interact with each other, and define our values. Thus, there is a need for an earnest inquiry into the cultural repercussions of this phenomenon that extends beyond superficial analyses of AI-based applications in education. Cultural and Social Implications of Artificial Intelligence in Education addresses the need for a scholarly exploration of the cultural and social impacts of the rapid expansion of artificial intelligence in the field of education including potential consequences these impacts could have on culture, social relations, and values. The content within this publication covers such topics as ethics, critical thinking, and augmented intelligence and is designed for educators, academicians, administrators, researchers, and professionals.

Автор: Giuliana Guazzaroni, Anitha S. Pillai
Название: Virtual and Augmented Reality in Education, Art, and Museums, Igi global. ISBN 9781799817963
ISBN: 1799817962 ISBN-13(EAN): 9781799817963
Издательство: Mare Nostrum (Eurospan)
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Цена: 188100.00 T
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Описание: Explores the strategic role and use of virtual and augmented reality in shaping visitor experiences at art galleries and museums and their ability to enhance education. The book highlights a range of topics such as online learning, digital heritage, and gaming.

Автор: Ratten, Vanessa (La Trobe University, Australia)
Название: Practical Artificial Intelligence for Internet of Medical Things
ISBN: 1032325275 ISBN-13(EAN): 9781032325279
Издательство: Taylor&Francis
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Цена: 132710.00 T
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Описание: This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare. It includes working examples, case studies, implementation and management of smart healthcare systems using AI.

Автор: Chesterman Simon
Название: We, the Robots?: Regulating Artificial Intelligence and the Limits of the Law
ISBN: 1316517683 ISBN-13(EAN): 9781316517680
Издательство: Cambridge Academ
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Цена: 38010.00 T
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Описание: Should we regulate artificial intelligence? Can we? From self-driving cars and high-speed trading to algorithmic decision-making, the way we live, work, and play is increasingly dependent on AI systems. This book examines how our laws are dealing with AI, as well as what additional rules and institutions are needed.

Автор: Sun
Название: Advances in Artificial Intelligence and Security
ISBN: 3031067630 ISBN-13(EAN): 9783031067631
Издательство: Springer
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Цена: 121110.00 T
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Описание: The 3-volume set CCIS 1586, CCIS 1587 and CCIS 1588 constitutes the refereed proceedings of the 8th International Conference on Artificial Intelligence and Security, ICAIS 2022, which was held in Qinghai, China, in July 2022. The total of 115 full papers and 53 short papers presented in this 3-volume proceedings was carefully reviewed and selected from 1124 submissions. The papers were organized in topical sections as follows: Part I: artificial intelligence; Part II: artificial intelligence; big data; cloud computing and security; multimedia forensics; Part III: encryption and cybersecurity; information hiding; IoT security.

Автор: Kovac, Mitja
Название: Judgement-Proof Robots and Artificial Intelligence A Comparative Law and Economics Approach
ISBN: 3030536432 ISBN-13(EAN): 9783030536435
Издательство: Springer
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Цена: 60550.00 T
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Описание: This book addresses the role of public policy in regulating the autonomous artificial intelligence and related civil liability for damage caused by the robots (and any form of artificial intelligence).

Автор: Popkova Elena G., Ostrovskaya Victoria N.
Название: Meta-Scientific Study of Artificial Intelligence
ISBN: 1648025153 ISBN-13(EAN): 9781648025150
Издательство: Mare Nostrum (Eurospan)
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Цена: 117470.00 T
Наличие на складе: Нет в наличии.
Описание:

The book studies artificial intelligence as a new reality and a perspective direction for the modern economy's development, as well as its future technological basis. The book forms a meta-scientific approach to studying AI, which allows uniting the efforts of scholars from different spheres of science for formation of a comprehensive idea of AI. The book reflects the meta-scientific approach to the balanced use of human and artificial intelligence and the features of successful development of the information economy under the conditions of technological progress based on artificial intelligence. It describes the implementation of the subject approach in psychology and pedagogy based on artificial intelligence and reflects the political and legal aspects of creating, implementing and developing artificial intelligence. The impact of artificial intelligence on the economy and financial services is considered, and modernization of management of production and distribution processes and systems based on AI are studied. The target audience of the book includes scholars from different spheres of science who study AI, companies interested in implementation of AI, and government that regulates the issues of development and use of AI.

Автор: Shin-ya Kobayashi; Andrzej Piegat; Jerzy Peja?; Im
Название: Hard and Soft Computing for Artificial Intelligence, Multimedia and Security
ISBN: 3319484281 ISBN-13(EAN): 9783319484280
Издательство: Springer
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Цена: 186330.00 T
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Описание: This book gathers the proceedings of the 20th International Conference on Advanced Computer Systems 2016, held in Mi?dzyzdroje (Poland) on October 19–21, 2016. Addressing topics that include artificial intelligence (AI), software technologies, multimedia systems, IT security and design of information systems, the main purpose of the conference and the book is to create an opportunity to exchange significant insights on this area between science and business. In particular, this expertise concerns the use of hard and soft computational methods for artificial intelligence, image and data processing, and finally, the design of information and security systems. The book contains a collection of carefully selected, peer-reviewed papers, combining high-quality original unpublished research, case studies, and implementation experiences.

Автор: Ryma Abassi
Название: Artificial Intelligence and Security Challenges in Emerging Networks
ISBN: 1522573534 ISBN-13(EAN): 9781522573531
Издательство: Mare Nostrum (Eurospan)
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Цена: 179320.00 T
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Описание: The recent rise of emerging networking technologies such as social networks, content centric networks, Internet of Things networks, etc, have attracted significant attention from academia as well as industry professionals looking to utilize these technologies for efficiency purposes. However, the allure of such networks and resultant storage of high volumes of data leads to increased security risks, including threats to information privacy.Artificial Intelligence and Security Challenges in Emerging Networks is an essential reference source that discusses applications of artificial intelligence, machine learning, and data mining, as well as other tools and strategies to protect networks against security threats and solve security and privacy problems. Featuring research on topics such as encryption, neural networks, and system verification, this book is ideally designed for ITC procurement managers, IT consultants, systems and network integrators, infrastructure service providers, computer and software engineers, startup companies, academicians, researchers, managers, and students.

Автор: Danfeng (Daphne) Yao, Xiaokui Shu, Long Cheng, Salvatore J. Stolfo
Название: Anomaly Detection as a Service: Challenges, Advances, and Opportunities
ISBN: 1681732424 ISBN-13(EAN): 9781681732428
Издательство: Mare Nostrum (Eurospan)
Цена: 97950.00 T
Наличие на складе: Невозможна поставка.
Описание: Anomaly detection has been a long-standing security approach with versatile applications, ranging from securing server programs in critical environments, to detecting insider threats in enterprises, to anti-abuse detection for online social networks. Despite the seemingly diverse application domains, anomaly detection solutions share similar technical challenges, such as how to accurately recognize various normal patterns, how to reduce false alarms, how to adapt to concept drifts, and how to minimize performance impact. They also share similar detection approaches and evaluation methods, such as feature extraction, dimension reduction, and experimental evaluation.The main purpose of this book is to help advance the real-world adoption and deployment anomaly detection technologies, by systematizing the body of existing knowledge on anomaly detection. This book is focused on data-driven anomaly detection for software, systems, and networks against advanced exploits and attacks, but also touches on a number of applications, including fraud detection and insider threats. We explain the key technical components in anomaly detection workflows, give in-depth description of the state-of-the-art data-driven anomaly-based security solutions, and more importantly, point out promising new research directions. This book emphasizes on the need and challenges for deploying service-oriented anomaly detection in practice, where clients can outsource the detection to dedicated security providers and enjoy the protection without tending to the intricate details.