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  • Artificial Intelligence
  • Springer Nature  (36)
  • Springer  (15)
  • The MIT Press  (2)
  • American Institute of Physics (AIP)
  • 2020-2024  (38)
  • 2015-2019
  • 1950-1954
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  • 1
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    Multidisciplinary Perspectives on Artificial Intelligence and the Law (2024)
    Springer Nature | Springer International Publishing
    Details
    Publication Date: 2024-01-16
    Description: This open access book presents an interdisciplinary, multi-authored, edited collection of chapters on Artificial Intelligence (‘AI’) and the Law. AI technology has come to play a central role in the modern data economy. Through a combination of increased computing power, the growing availability of data and the advancement of algorithms, AI has now become an umbrella term for some of the most transformational technological breakthroughs of this age. The importance of AI stems from both the opportunities that it offers and the challenges that it entails. While AI applications hold the promise of economic growth and efficiency gains, they also create significant risks and uncertainty. The potential and perils of AI have thus come to dominate modern discussions of technology and ethics – and although AI was initially allowed to largely develop without guidelines or rules, few would deny that the law is set to play a fundamental role in shaping the future of AI. As the debate over AI is far from over, the need for rigorous analysis has never been greater. This book thus brings together contributors from different fields and backgrounds to explore how the law might provide answers to some of the most pressing questions raised by AI. An outcome of the Católica Research Centre for the Future of Law and its interdisciplinary working group on Law and Artificial Intelligence, it includes contributions by leading scholars in the fields of technology, ethics and the law.
    Keywords: Artificial Intelligence ; Information Technology ; Data Science ; Machine Learning ; Law And Artificial Intelligence ; Law and Technology ; Law and Information technology ; Law And Data Science ; Legal Framework For Artificial Intelligence ; Ethics Of Artificial Intelligence ; bic Book Industry Communication::L Law::LN Laws of Specific jurisdictions::LNJ Entertainment & media law ; bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence ; bic Book Industry Communication::U Computing & information technology::UB Information technology: general issues::UBL Legal aspects of IT
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  • 2
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    New Digital Work (2023)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-04-11
    Description: This open access book will give insights into global issues of work and work systems design from a wide range of perspectives. Topics like the impact of AI in the workplace as well as design for digital sovereignty at the workplace or foresight processes for digital work are covered. Practical cases, empirical results and theoretical considerations are not only taken from Germany and Europe, but also from Southeast Asia, South Africa, Middle America, and Australia. The book intends to expand the so far national view on the aspects of digital work (e.g. like in Ernst Hartmann’s immensely successful work “Zukunft der Arbeit in Industrie 4.0”) into an international context – thus showing not only common challenges, but also offering suggestions, best practice examples or thoughts from different global regions.
    Keywords: Digital Work ; Digital Sovereignty ; Artificial Intelligence ; Capacity Building ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGP Production and industrial engineering ; thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCD Economics of industrial organization ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
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  • 3
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    Responsible AI in Africa (2023)
    Springer Nature | Palgrave Macmillan
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    Publication Date: 2024-04-06
    Description: This open access book contributes to the discourse of Responsible Artificial Intelligence (AI) from an African perspective. It is a unique collection that brings together prominent AI scholars to discuss AI ethics from theoretical and practical African perspectives and makes a case for African values, interests, expectations and principles to underpin the design, development and deployment (DDD) of AI in Africa. The book is a first in that it pays attention to the socio-cultural contexts of Responsible AI that is sensitive to African cultures and societies. It makes an important contribution to the global AI ethics discourse that often neglects AI narratives from Africa despite growing evidence of DDD in many domains. Nine original contributions provide useful insights to advance the understanding and implementation of Responsible AI in Africa, including discussions on epistemic injustice of global AI ethics, opportunities and challenges, an examination of AI co-bots and chatbots in an African work space, gender and AI, a consideration of African philosophies such as Ubuntu in the application of AI, African AI policy, and a look towards a future of Responsible AI in Africa. This is an open access book.
    Keywords: Artificial Intelligence ; AI Ecosystems in Africa ; AI ethics ; digital culture ; SDGs ; Sustainable Development Goals ; AI policy ; ICT infrastructure in Africa ; AI governance ; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology ; thema EDItEUR::D Biography, Literature and Literary studies::D Biography, Literature and Literary studies::DS Literature: history and criticism ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography::RGC Human geography ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTQ Ethics and moral philosophy
    Language: English
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  • 4
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    Energy and Sustainable Futures: Proceedings of the 3rd ICESF, 2022 (2023)
    Springer Nature | Springer Nature Switzerland
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    Publication Date: 2024-04-11
    Description: This is an open access book. This book contains research papers presented at the 3rd International Conference on Energy and Sustainable Futures (ICESF), which took place at Coventry University, UK, in 2022. The ICESF is an annual conference organised by the UK-based Doctorial Training Alliance (DTA) programme. It is a multidisciplinary conference focused on addressing the future challenges and opportunities for meeting global energy targets and sustainable development goals. The conference brought together academic researchers, industry experts and research students to showcase the latest innovations and research on a wide range of topics in the areas of energy and sustainability, including • renewable energy; • ICT and control; • computational fluid dynamics; • optimization; • conventional energy sources; • energy governance; • materials in energy research; • energy storage and • energy access.
    Keywords: Renewable Energy ; Solar Energy ; Wind Energy ; Biomass ; Energy Systems Management ; Artificial Intelligence ; Energy Policy ; Multi-objective Optimisation ; Machine Learning ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THV Alternative and renewable energy sources and technology ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNU Sustainability ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGM Materials science::TGMF Engineering: Mechanics of fluids
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  • 5
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    Creativity in Art, Design and Technology (2023)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-04-14
    Description: This is an open access book. Creativity is a difficult concept, how can it best be defined, understood, applied, and practiced? This book provides important answers to these questions. Technology can enable artists to be more creative. Scientific and artistic thinking give us two complementary tools to understand the complexity of the world, with science reducing subjective experience to essential principles and art intensifying and expanding our experiences. These examples also show how artists can push the boundaries of technology into exciting new realms that have not been explored before. The impact that art and art practice can have on culture, society, and social responsibility is explored in detail through examples and case studies. In addition, the book presents how artists are creating and reflecting cultural and societal resonance in their work. Can other disciplines help artists to be more creative? All are part of an interrelated wider society and enables artists to develop artwork fit for highly interfaced and conceptually broad contemporary contexts. This is illustrated with examples which show exciting and challenging results. Creativity in Art, Design and Technology is relevant for artists, designers, scientists and technologists. All can benefit in a major way from a greater understanding of creativity, and the ways in which mutual interaction and collaboration enables all areas to develop. The potential for the future is immense and this book signposts the way forward.
    Keywords: Creative Practice ; Artificial Intelligence ; Cognitive Models ; Design Thinking ; Creative Augmentation ; Data Visualization Artist ; Computer-assisted Creativity ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction::UYZG User interface design and usability ; thema EDItEUR::A The Arts::AF The Arts: art forms ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
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  • 6
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    Technology Assessment in a Globalized World (2023)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-03-29
    Description: This open access book explores the relevance of the concept of technology assessment (TA) on an international and global level. Technologies play a key role in addressing global challenges such as climate change, population aging, digitization, and health. At the same time, their use increases the need for coordinated action and governance at the global level in the field of science, technology and innovation (STI). Featuring case studies on STI fields such as energy, biotechnology, artificial intelligence, and health technology, as well as TA activities at the national and international levels, this book reflects on the challenges and opportunities of global technology governance. It also provides an in-depth discussion of current governmental STI cultures and systems, societal expectations, and the policy priorities needed to achieve coordinated and effective STI intervention in policymaking and public debate at the global level. Lastly, the book promotes the establishment of a forum for a truly global dialogue of TA practitioners, fostering the articulation of their needs, knowledge and perspectives.
    Keywords: Technology assessment ; Global technology governance ; S&T and globalization ; International technology governance ; Science policy advice ; Innovation governance ; Globalization ; Artificial Intelligence ; Health technology ; Biotechnology ; Reflexive modernization ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPH Political structure and processes ; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GT Interdisciplinary studies::GTQ Globalization
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  • 7
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    Integrated Diagnostics and Theranostics of Thyroid Diseases (2023)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-04-01
    Description: This open access book provides basic concepts on Integrated Diagnostics and Theranostics with special emphasis on different human thyroid diseases. Thyroid diseases are increasingly detected (incidentally in many cases) but are clinically negligible in a significant proportion of patients. Accordingly, it is urgent to move from the simple disease detection to a reliable disease characterization in order to concentrate efforts on patients in need of tailored disease management. The current scenario of in vitro and in vivo diagnostics, is fastly moving toward the Integrated Diagnostics (i.e. convergence of imaging, pathology and laboratory tests with advanced information technology). Furthermore, the integration of different information will aid clinicians to properly select treatments and stratify patients’ prognosis over time. Theranostics is a perfect paradigm of such integrated approach and radioiodine, indicated for benign and malignant thyroid disease management, was the first and is still the mostly used theranostic agent in medicine. Featuring basics concepts and clinical cases discussions the Atlas will be an invaluable tool for clinicians, laboratory specialists, imaging physicians and biomedical technologists involved in diagnosis and therapy of thyroid diseases.
    Keywords: Thyroid and Parathyroid Tumours ; Neuroendocrine Tumours ; Adrenal Tumours ; Integrated Diagnostics ; Theragnostics ; Artificial Intelligence ; Big Data Analysis ; Molecular Imaging ; Radiomics ; Biomarkers ; Liquid biopsy ; thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKS Medical imaging::MKSH Medical imaging: radiology ; thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKR Nuclear medicine ; thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJG Endocrinology ; thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology
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  • 8
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    Representation Learning for Natural Language Processing (2023)
    Springer Nature | Springer Nature Singapore
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    Publication Date: 2024-04-14
    Description: This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I presents the representation learning techniques for multiple language entries, including words, sentences and documents, as well as pre-training techniques. Part II then introduces the related representation techniques to NLP, including graphs, cross-modal entries, and robustness. Part III then introduces the representation techniques for the knowledge that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, legal domain knowledge and biomedical domain knowledge. Lastly, Part IV discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing. As compared to the first edition, the second edition (1) provides a more detailed introduction to representation learning in Chapter 1; (2) adds four new chapters to introduce pre-trained language models, robust representation learning, legal knowledge representation learning and biomedical knowledge representation learning; (3) updates recent advances in representation learning in all chapters; and (4) corrects some errors in the first edition. The new contents will be approximately 50%+ compared to the first edition. This is an open access book.
    Keywords: Deep Learning ; Representation Learning ; Knowledge Representation ; Word Representation ; Document Representation ; Big Data ; Machine Learning ; Natural Language Processing ; Artificial Intelligence ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation ; thema EDItEUR::C Language and Linguistics::CF Linguistics::CFX Computational and corpus linguistics ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
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  • 9
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    Digital Humanism (2022)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book deals with cultural and philosophical aspects of artificial intelligence (AI) and pleads for a “digital humanism”. This term is beginning to be en vogue everywhere. Due to a growing discontentment with the way digitalization is being used in the world, particularly formulated by former heroes of Internet, social media and search engine companies, philosophical as well as industrial thought leaders begin to plead for a humane use of digital tools. Yet the term “digital humanism” is a particular terminology that lacks a sound conceptual and philosophical basis and needs clarification still – and this gap is exactly filled by this book. It propagates a vision of society in which digitization is used to strengthen human self-determination, autonomy and dignity and whose time has come to be propagated throughout the world. The advantage of this book is that it is philosophically sound and yet written in a way that will make it accessible for everybody interested in the subject. Every chapters begins with a film scene illustrating a precise philosophical problem with AI and how we look at it – making the book not only readable, but even entertaining. And after having read the book the reader will have a clear vision of what it means to live in a world where digitization and AI are central technologies for a better and more humane civilization.
    Keywords: Digital Humanism ; Philosophy of Computer Science ; Computer Ethics ; Scientific Communication ; Artificial Intelligence ; Computers and Society ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBJ Digital and information technologies: social and ethical aspects ; thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDA Philosophy of science ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPA Political science and theory ; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology ; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBC Cultural and media studies::JBCT Media studies ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBL Digital and information technologies: Legal aspects
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  • 10
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    Metalearning (2022)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book as one of the fastest-growing areas of research in machine learning, metalearning studies principled methods to obtain efficient models and solutions by adapting machine learning and data mining processes. This adaptation usually exploits information from past experience on other tasks and the adaptive processes can involve machine learning approaches. As a related area to metalearning and a hot topic currently, automated machine learning (AutoML) is concerned with automating the machine learning processes. Metalearning and AutoML can help AI learn to control the application of different learning methods and acquire new solutions faster without unnecessary interventions from the user. This book offers a comprehensive and thorough introduction to almost all aspects of metalearning and AutoML, covering the basic concepts and architecture, evaluation, datasets, hyperparameter optimization, ensembles and workflows, and also how this knowledge can be used to select, combine, compose, adapt and configure both algorithms and models to yield faster and better solutions to data mining and data science problems. It can thus help developers to develop systems that can improve themselves through experience. This book is a substantial update of the first edition published in 2009. It includes 18 chapters, more than twice as much as the previous version. This enabled the authors to cover the most relevant topics in more depth and incorporate the overview of recent research in the respective area. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining, data science and artificial intelligence. ; Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining processes. While the variety of machine learning and data mining techniques now available can, in principle, provide good model solutions, a methodology is still needed to guide the search for the most appropriate model in an efficient way. Metalearning provides one such methodology that allows systems to become more effective through experience. This book discusses several approaches to obtaining knowledge concerning the performance of machine learning and data mining algorithms. It shows how this knowledge can be reused to select, combine, compose and adapt both algorithms and models to yield faster, more effective solutions to data mining problems. It can thus help developers improve their algorithms and also develop learning systems that can improve themselves. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining and artificial intelligence.
    Keywords: Metalearning ; Automating Machine Learning (AutoML) ; Machine Learning ; Artificial Intelligence ; algorithm selection ; algorithm recommendation ; algorithm configuration ; hyperparameter optimization ; automating the workflow/pipeline design ; metalearning in ensemble construction ; metalearning in deep neural networks ; transfer learning ; algorithm recommendation for data streams ; automating data science ; Open Access ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
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  • 11
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    From Digital Twins to Digital Selves and Beyond (2022)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-04-14
    Description: This open access book aims at deepening the understanding of the relation between cyber-physical systems (CPSs) as socio-technical systems and their digital representations with intertwined artificial intelligence (AI). The authors describe why it is crucial for digital selves to be able to develop emotional behavior and why a humanity-inspired AI is necessary so that humans and humanoids can coexist. The introductory chapter describes major milestones in computer science which form the basis for the implementation of digital twins and digital selves. The subsequent Part I then lays the foundation to develop a socio-technical understanding of the nature of digital twins as representations and trans-human development objects. Following the conceptual understanding of digital twins and how they could be engineered according to cognitive and organizational structures, Part II forms the groundwork for understanding social behavior and its modeling. It discusses various perception-based socio-emotional approaches before sketching behavior-relevant models and their simulation capabilities. In particular, it is shown how emotions can substantially influence the collective behavior of artificial actors. Part III eventually presents a symbiosis showing under which preconditions digital selves might construct and produce digital twins as integrated design elements in trans-human ecosystems. The chapters in this part are dedicated to opportunities and modes of co-creating reflective socio-trans-human systems based on digital twin models, exploring mutual control and continuous development. The final epilog is congenitally speculative in its nature by presenting thoughts on future developments of artificial life in computational substrates. The book is written for researchers and professionals in areas like cyber-physical systems, robotics, social simulation or systems engineering, interested to take a speculative look into the future of digital twins and autonomous agents. It also touches upon philosophical aspects of digital twins, digital selves and humanoids.
    Keywords: Trans-Humanism ; Digital Twins ; Digital Society ; Artificial Intelligence ; Transformative Change ; Cyber-Physical Systems ; Robotics ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBJ Digital and information technologies: social and ethical aspects ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
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  • 12
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    Design of Heuristic Algorithms for Hard Optimization (2022)
    Springer Nature | Springer International Publishing
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    Publication Date: 2022-11-19
    Description: This open access book demonstrates all the steps required to design heuristic algorithms for difficult optimization. The classic problem of the travelling salesman is used as a common thread to illustrate all the techniques discussed. This problem is ideal for introducing readers to the subject because it is very intuitive and its solutions can be graphically represented. The book features a wealth of illustrations that allow the concepts to be understood at a glance. The book approaches the main metaheuristics from a new angle, deconstructing them into a few key concepts presented in separate chapters: construction, improvement, decomposition, randomization and learning methods. Each metaheuristic can then be presented in simplified form as a combination of these concepts. This approach avoids giving the impression that metaheuristics is a non-formal discipline, a kind of cloud sculpture. Moreover, it provides concrete applications of the travelling salesman problem, which illustrate in just a few lines of code how to design a new heuristic and remove all ambiguities left by a general framework. Two chapters reviewing the basics of combinatorial optimization and complexity theory make the book self-contained. As such, even readers with a very limited background in the field will be able to follow all the content.
    Keywords: Algorithms ; Heuristics ; Travelling Salesman ; Local Search ; Metaheuristics ; Combinatorial Optimization ; Artificial Intelligence ; bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJT Operational research ; bic Book Industry Communication::P Mathematics & science::PB Mathematics::PBU Optimization ; bic Book Industry Communication::P Mathematics & science::PB Mathematics::PBK Calculus & mathematical analysis::PBKS Numerical analysis ; bic Book Industry Communication::P Mathematics & science::PD Science: general issues::PDE Maths for scientists ; bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence
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    Data Science-Based Full-Lifespan Management of Lithium-Ion Battery (2022)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-04-11
    Description: This open access book comprehensively consolidates studies in the rapidly emerging field of battery management. The primary focus is to overview the new and emerging data science technologies for full-lifespan management of Li-ion batteries, which are categorized into three groups, namely (i) battery manufacturing management, (ii) battery operation management, and (iii) battery reutilization management. The key challenges, future trends as well as promising data-science technologies to further improve this research field are discussed. As battery full-lifespan (manufacturing, operation, and reutilization) management is a hot research topic in both energy and AI fields and none specific book has focused on systematically describing this particular from a data science perspective before, this book can attract the attention of academics, scientists, engineers, and practitioners. It is useful as a reference book for students and graduates working in related fields. Specifically, the audience could not only get the basics of battery manufacturing, operation, and reutilization but also the information of related data-science technologies. The step-by-step guidance, comprehensive introduction, and case studies to the topic make it accessible to audiences of different levels, from graduates to experienced engineers.
    Keywords: Lithium-ion Battery ; Battery Manufacturing Management ; Battery Operation Management ; Battery Recycling Management ; Data Science ; Artificial Intelligence ; Open Access ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGM Materials science ; thema EDItEUR::U Computing and Information Technology::UN Databases ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering
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  • 14
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    Artificial Intelligence Technology (2022)
    Springer Nature | Springer Nature Singapore
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    Publication Date: 2024-04-14
    Description: This open access book aims to give our readers a basic outline of today’s research and technology developments on artificial intelligence (AI), help them to have a general understanding of this trend, and familiarize them with the current research hotspots, as well as part of the fundamental and common theories and methodologies that are widely accepted in AI research and application. This book is written in comprehensible and plain language, featuring clearly explained theories and concepts and extensive analysis and examples. Some of the traditional findings are skipped in narration on the premise of a relatively comprehensive introduction to the evolution of artificial intelligence technology. The book provides a detailed elaboration of the basic concepts of AI, machine learning, as well as other relevant topics, including deep learning, deep learning framework, Huawei MindSpore AI development framework, Huawei Atlas computing platform, Huawei AI open platform for smart terminals, and Huawei CLOUD Enterprise Intelligence application platform. As the world’s leading provider of ICT (information and communication technology) infrastructure and smart terminals, Huawei’s products range from digital data communication, cyber security, wireless technology, data storage, cloud computing, and smart computing to artificial intelligence.
    Keywords: Artificial Intelligence ; Cloud Computing ; Big Data ; Certification ; Huawei ; MindSpore ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
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  • 15
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    Vector Semantics (2022)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book introduces Vector semantics, which links the formal theory of word vectors to the cognitive theory of linguistics. The computational linguists and deep learning researchers who developed word vectors have relied primarily on the ever-increasing availability of large corpora and of computers with highly parallel GPU and TPU compute engines, and their focus is with endowing computers with natural language capabilities for practical applications such as machine translation or question answering. Cognitive linguists investigate natural language from the perspective of human cognition, the relation between language and thought, and questions about conceptual universals, relying primarily on in-depth investigation of language in use. In spite of the fact that these two schools both have ‘linguistics’ in their name, so far there has been very limited communication between them, as their historical origins, data collection methods, and conceptual apparatuses are quite different. Vector semantics bridges the gap by presenting a formal theory, cast in terms of linear polytopes, that generalizes both word vectors and conceptual structures, by treating each dictionary definition as an equation, and the entire lexicon as a set of equations mutually constraining all meanings.
    Keywords: Semantics ; Natural Language Processing ; Computational Linguistics ; Artificial Intelligence ; explainable AI ; Artificial Neural Nets ; lexical semantics ; word vectors ; embeddings ; dynamic embeddings ; algebraic semantic ; knowledge bases ; machine learning ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation ; thema EDItEUR::C Language and Linguistics::CF Linguistics::CFX Computational and corpus linguistics ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems ; thema EDItEUR::D Biography, Literature and Literary studies::D Biography, Literature and Literary studies::DS Literature: history and criticism
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  • 16
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    Computational Thinking Education in K–12 (2022)
    The MIT Press | The MIT Press
    Details
    Publication Date: 2022-06-21
    Description: A guide to computational thinking education, with a focus on artificial intelligence literacy and the integration of computing and physical objects. Computing has become an essential part of today's primary and secondary school curricula. In recent years, K–12 computer education has shifted from computer science itself to the broader perspective of computational thinking (CT), which is less about technology than a way of thinking and solving problems—“a fundamental skill for everyone, not just computer scientists,” in the words of Jeanette Wing, author of a foundational article on CT. This volume introduces a variety of approaches to CT in K–12 education, offering a wide range of international perspectives that focus on artificial intelligence (AI) literacy and the integration of computing and physical objects. The book first offers an overview of CT and its importance in K–12 education, covering such topics as the rationale for teaching CT; programming as a general problem-solving skill; and the “phenomenon-based learning” approach. It then addresses the educational implications of the explosion in AI research, discussing, among other things, the importance of teaching children to be conscientious designers and consumers of AI. Finally, the book examines the increasing influence of physical devices in CT education, considering the learning opportunities offered by robotics. Contributors Harold Abelson, Cynthia Breazeal, Karen Brennan, Michael E. Caspersen, Christian Dindler, Daniella DiPaola, Nardie Fanchamps, Christina Gardner-McCune, Mark Guzdial, Kai Hakkarainen, Fredrik Heintz, Paul Hennissen, H. Ulrich Hoppe, Ole Sejer Iversen, Siu-Cheung Kong, Wai-Ying Kwok, Sven Manske, Jesús Moreno-León, Blakeley H. Payne, Sini Riikonen, Gregorio Robles, Marcos Román-González, Pirita Seitamaa-Hakkarainen, Ju-Ling Shih, Pasi Silander, Lou Slangen, Rachel Charlotte Smith, Marcus Specht, Florence R. Sullivan, David S. Touretzky
    Keywords: Computational Thinking Education ; K-12 Education ; Artificial Intelligence ; Physical Computing ; bic Book Industry Communication::J Society & social sciences::JN Education::JNV Educational equipment & technology, computer-aided learning (CAL)
    Language: English
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    Product Development within Artificial Intelligence, Ethics and Legal Risk (2022)
    Springer Nature | Springer Vieweg
    Details
    Publication Date: 2024-04-14
    Description: This open-access-book synthesizes a supportive developer checklist considering sustainable Team and agile Project Management in the challenge of Artificial Intelligence and limits of image recognition. The study bases on technical, ethical, and legal requirements with examples concerning autonomous vehicles. As the first of its kind, it analyzes all reported car accidents state wide (1.28 million) over a 10-year period. Integrating of highly sensitive international court rulings and growing consumer expectations make this book a helpful guide for product and team development from initial concept until market launch.
    Keywords: Customer/Consumer Protection ; Artificial Intelligence ; Automated Driving ; Autonomous Vehicle ; Image Recognition ; Deep Residual Learning ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades::TRC Automotive technology and trades ; thema EDItEUR::L Law::LN Laws of specific jurisdictions and specific areas of law::LNC Company, commercial and competition law: general::LNCQ Construction and engineering law ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TD Industrial chemistry and manufacturing technologies::TDC Industrial chemistry and chemical engineering
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    Multi-Winner Voting with Approval Preferences (2022)
    Springer Nature | Springer
    Details
    Publication Date: 2024-04-14
    Description: From fundamental concepts and results to recent advances in computational social choice, this open access book provides a thorough and in-depth look at multi-winner voting based on approval preferences. The main focus is on axiomatic analysis, algorithmic results and several applications that are relevant in artificial intelligence, computer science and elections of any kind. What is the best way to select a set of candidates for a shortlist, for an executive committee, or for product recommendations? Multi-winner voting is the process of selecting a fixed-size set of candidates based on the preferences expressed by the voters. A wide variety of decision processes in settings ranging from politics (parliamentary elections) to the design of modern computer applications (collaborative filtering, dynamic Q&A platforms, diversity in search results, etc.) share the problem of identifying a representative subset of alternatives. The study of multi-winner voting provides the principled analysis of this task. Approval-based committee voting rules (in short: ABC rules) are multi-winner voting rules particularly suitable for practical use. Their usability is founded on the straightforward form in which the voters can express preferences: voters simply have to differentiate between approved and disapproved candidates. Proposals for ABC rules are numerous, some dating back to the late 19th century while others have been introduced only very recently. This book explains and discusses these rules, highlighting their individual strengths and weaknesses. With the help of this book, the reader will be able to choose a suitable ABC voting rule in a principled fashion, participate in, and be up to date with the ongoing research on this topic.
    Keywords: Multi-Winner Voting ; Computational Social Choice ; Approval-Based Committee (ABC) Voting ; ABC Rules ; Proportionality ; Fairness Axioms ; Strategic Voting ; Collective Decisions ; Artificial Intelligence ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCA Economic theory and philosophy ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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    How Humans Judge Machines (2022)
    The MIT Press | The MIT Press
    Details
    Publication Date: 2024-04-14
    Description: How people judge humans and machines differently, in scenarios involving natural disasters, labor displacement, policing, privacy, algorithmic bias, and more. How would you feel about losing your job to a machine? How about a tsunami alert system that fails? Would you react differently to acts of discrimination depending on whether they were carried out by a machine or by a human? What about public surveillance? How Humans Judge Machines compares people's reactions to actions performed by humans and machines. Using data collected in dozens of experiments, this book reveals the biases that permeate human-machine interactions. Are there conditions in which we judge machines unfairly? Is our judgment of machines affected by the moral dimensions of a scenario? Is our judgment of machine correlated with demographic factors such as education or gender? César Hidalgo and colleagues use hard science to take on these pressing technological questions. Using randomized experiments, they create revealing counterfactuals and build statistical models to explain how people judge artificial intelligence and whether they do it fairly. Through original research, How Humans Judge Machines bring us one step closer to understanding the ethical consequences of AI. Written by César A. Hidalgo, the author of Why Information Grows and coauthor of The Atlas of Economic Complexity (MIT Press), together with a team of social psychologists (Diana Orghian and Filipa de Almeida) and roboticists (Jordi Albo-Canals), How Humans Judge Machines presents a unique perspective on the nexus between artificial intelligence and society. Anyone interested in the future of AI ethics should explore the experiments and theories in How Humans Judge Machines.
    Keywords: A.I. Ethics ; Artificial Intelligence ; Robotics ; Psychology ; Automation ; Future of Work ; Fourth Industrial Revolution ; Algorithmic Bias ; Privacy ; Labor Displacement ; Machine Ethics ; Moral Psychology ; Ethics ; Human Robot Interactions ; Positive Philosophy ; Moral Experiments ; Intention ; Moral Foundations Theory ; Computational Creativity ; Uncertainity ; Fairness ; Bias ; Differential Privacy ; Anonymity ; Wrongness ; Demographics ; Moral Foundations ; Laws or Robotics ; Legal Implications of Robotics ; Bureacracies ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBJ Digital and information technologies: social and ethical aspects
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    Beyond Data (2022)
    Springer Nature | T.M.C. Asser Press
    Details
    Publication Date: 2022-06-21
    Description: This open access book focuses on the impact of Artificial Intelligence (AI) on individuals and society from a legal perspective, providing a comprehensive risk-based methodological framework to address it. Building on the limitations of data protection in dealing with the challenges of AI, the author proposes an integrated approach to risk assessment that focuses on human rights and encompasses contextual social and ethical values. The core of the analysis concerns the assessment methodology and the role of experts in steering the design of AI products and services by business and public bodies in the direction of human rights and societal values. Taking into account the ongoing debate on AI regulation, the proposed assessment model also bridges the gap between risk-based provisions and their real-world implementation. The central focus of the book on human rights and societal values in AI and the proposed solutions will make it of interest to legal scholars, AI developers and providers, policy makers and regulators. Alessandro Mantelero is Associate Professor of Private Law and Law & Technology in the Department of Management and Production Engineering at the Politecnico di Torino in Turin, Italy.
    Keywords: Human Rights ; Artificial Intelligence ; Impact Assessment ; Ethics ; Data Protection ; Fundamental Rights ; Human Rights Impact Assessment (HRIA) ; AI Regulation ; bic Book Industry Communication::L Law::LN Laws of Specific jurisdictions::LNJ Entertainment & media law ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPV Political control & freedoms::JPVH Human rights ; bic Book Industry Communication::L Law::LB International law ; bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence ; bic Book Industry Communication::L Law::LB International law::LBB Public international law
    Language: English
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    The Road to General Intelligence (2022)
    Springer Nature | Springer International Publishing
    Details
    Publication Date: 2024-04-14
    Description: Humans have always dreamed of automating laborious physical and intellectual tasks, but the latter has proved more elusive than naively suspected. Seven decades of systematic study of Artificial Intelligence have witnessed cycles of hubris and despair. The successful realization of General Intelligence (evidenced by the kind of cross-domain flexibility enjoyed by humans) will spawn an industry worth billions and transform the range of viable automation tasks.The recent notable successes of Machine Learning has lead to conjecture that it might be the appropriate technology for delivering General Intelligence. In this book, we argue that the framework of machine learning is fundamentally at odds with any reasonable notion of intelligence and that essential insights from previous decades of AI research are being forgotten. We claim that a fundamental change in perspective is required, mirroring that which took place in the philosophy of science in the mid 20th century. We propose a framework for General Intelligence, together with a reference architecture that emphasizes the need for anytime bounded rationality and a situated denotational semantics. We given necessary emphasis to compositional reasoning, with the required compositionality being provided via principled symbolic-numeric inference mechanisms based on universal constructions from category theory. • Details the pragmatic requirements for real-world General Intelligence. • Describes how machine learning fails to meet these requirements. • Provides a philosophical basis for the proposed approach. • Provides mathematical detail for a reference architecture. • Describes a research program intended to address issues of concern in contemporary AI. The book includes an extensive bibliography, with ~400 entries covering the history of AI and many related areas of computer science and mathematics.The target audience is the entire gamut of Artificial Intelligence/Machine Learning researchers and industrial practitioners. There are a mixture of descriptive and rigorous sections, according to the nature of the topic. Undergraduate mathematics is in general sufficient. Familiarity with category theory is advantageous for a complete understanding of the more advanced sections, but these may be skipped by the reader who desires an overall picture of the essential concepts This is an open access book.
    Keywords: Computational Intelligence ; Artificial Intelligence ; Machine Learning ; General Intelligence ; AI ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UN Databases
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    Anti-fragile ICT Systems (2021)
    Springer Nature | Springer International Publishing
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    Publication Date: 2021-02-10
    Description: This book introduces a novel approach to the design and operation of large ICT systems. It views the technical solutions and their stakeholders as complex adaptive systems and argues that traditional risk analyses cannot predict all future incidents with major impacts. To avoid unacceptable events, it is necessary to establish and operate anti-fragile ICT systems that limit the impact of all incidents, and which learn from small-impact incidents how to function increasingly well in changing environments. The book applies four design principles and one operational principle to achieve anti-fragility for different classes of incidents. It discusses how systems can achieve high availability, prevent malware epidemics, and detect anomalies. Analyses of Netflix’s media streaming solution, Norwegian telecom infrastructures, e-government platforms, and Numenta’s anomaly detection software show that cloud computing is essential to achieving anti-fragility for classes of events with negative impacts.
    Keywords: Computer Systems Organization and Communication Networks ; Information Systems and Communication Service ; Artificial Intelligence ; Simulation and Modeling ; Computer Engineering and Networks ; Database Management System ; Computer Science ; Anomaly detection ; Anti-fragility ; Cloud computing ; Complex adaptive systems ; DevOps (Development and Operation) ; Diversity ; Loose coupling ; Malware ; Malware detection ; Microservices ; Modules ; Monitoring ; Redundancy ; Risk analysis ; Software architecture ; Software design ; System dependencies ; Tight coupling ; Trust ; Weak links ; Computer networking & communications ; Computer modelling & simulation ; bic Book Industry Communication::U Computing & information technology::UT Computer networking & communications ; bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence ; bic Book Industry Communication::U Computing & information technology::UY Computer science::UYM Computer modelling & simulation
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    Artificial Intelligence for a Better Future (2021)
    Springer Nature | Springer
    Details
    Publication Date: 2024-04-14
    Description: This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.
    Keywords: Artificial Intelligence ; Ethics ; Computers and Society ; Philosophy of Technology ; Business Ethics ; Applied Ethics ; Ethics of Technology ; Computer Ethics ; Information Ethics ; Responsible Research and Innovation ; Innovation Ecosystem ; Engineering Ethics ; Corporate Social Responsibility ; Open Access ; Ethics & moral philosophy ; Ethical & social aspects of IT ; Philosophy ; Business ethics & social responsibility ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTQ Ethics and moral philosophy ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBJ Digital and information technologies: social and ethical aspects ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy ; thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJG Business ethics and social responsibility
    Language: English
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    Machine Learning for Cyber Physical Systems (2021)
    Springer Nature | Springer Vieweg
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    Publication Date: 2024-04-11
    Description: This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.
    Keywords: Cyber-physical systems, IoT ; Communications Engineering, Networks ; Computer Systems Organization and Communication Networks ; Cyber-Physical Systems ; Computer Engineering and Networks ; Machine Learning ; Artificial Intelligence ; Cognitive Robotics ; Internet of Things ; Computational intelligence ; Computer-based algorithms ; Smart grid ; Open Access ; Industry 4.0 ; Electrical engineering ; Cybernetics & systems theory ; Communications engineering / telecommunications ; Computer networking & communications ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications
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    Graph Structures for Knowledge Representation and Reasoning (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book constitutes the thoroughly refereed post-conference proceedings of the 6th International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2020, held virtually in September 2020, associated with ECAI 2020, the 24th European Conference on Artificial Intelligence. The 7 revised full papers presented together with 2 invited contributions were reviewed and selected from 9 submissions. The contributions address various issues for knowledge representation and reasoning and the common graph-theoretic background, which allows to bridge the gap between the different communities.
    Keywords: Artificial Intelligence ; Information Systems Applications (incl. Internet) ; Computer Communication Networks ; Mathematical Logic and Formal Languages ; Computer and Information Systems Applications ; Formal Languages and Automata Theory ; open access ; concept lattices ; data mining ; databases ; fca ; formal concept analysis ; formal languages ; formal logic ; information analysis ; information systems ; knowledge-based system ; model-based reasoning ; network protocols ; ontologies ; Information retrieval ; Internet searching ; Network hardware ; Mathematical theory of computation ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrieval ; thema EDItEUR::U Computing and Information Technology::UK Computer hardware::UKN Network hardware ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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    The Impact of Digital Technologies on Public Health in Developed and Developing Countries (2021)
    Springer Nature | Springer
    Details
    Publication Date: 2024-04-14
    Description: This open access book constitutes the refereed proceedings of the 18th International Conference on String Processing and Information Retrieval, ICOST 2020, held in Hammamet, Tunisia, in June 2020.* The 17 full papers and 23 short papers presented in this volume were carefully reviewed and selected from 49 submissions. They cover topics such as: IoT and AI solutions for e-health; biomedical and health informatics; behavior and activity monitoring; behavior and activity monitoring; and wellbeing technology. *This conference was held virtually due to the COVID-19 pandemic.
    Keywords: Computer Communication Networks ; Artificial Intelligence ; Information Systems Applications (incl. Internet) ; Special Purpose and Application-Based Systems ; Computer System Implementation ; User Interfaces and Human Computer Interaction ; Computer and Information Systems Applications ; open access ; artificial intelligence ; communication systems ; computer vision ; databases ; hci ; human-computer interaction ; image processing ; Internet of Things ; IoT ; machine learning ; network protocols ; sensors ; signal processing ; software architecture ; software design ; telecommunication networks ; telecommunication systems ; user interfaces ; wireless telecommunication systems ; Network hardware ; Artificial intelligence ; Information retrieval ; Internet searching ; Expert systems / knowledge-based systems ; Systems analysis & design ; User interface design & usability ; thema EDItEUR::U Computing and Information Technology::UK Computer hardware::UKN Network hardware ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrieval ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYD Systems analysis and design ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction::UYZG User interface design and usability
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    From Opinion Mining to Financial Argument Mining (2021)
    Springer Nature | Springer Singapore
    Details
    Publication Date: 2024-04-14
    Description: Opinion mining is a prevalent research issue in many domains. In the financial domain, however, it is still in the early stages. Most of the researches on this topic only focus on the coarse-grained market sentiment analysis, i.e., 2-way classification for bullish/bearish. Thanks to the recent financial technology (FinTech) development, some interdisciplinary researchers start to involve in the in-depth analysis of investors' opinions. These works indicate the trend toward fine-grained opinion mining in the financial domain. When expressing opinions in finance, terms like bullish/bearish often spring to mind. However, the market sentiment of the financial instrument is just one type of opinion in the financial industry. Like other industries such as manufacturing and textiles, the financial industry also has a large number of products. Financial services are also a major business for many financial companies, especially in the context of the recent FinTech trend. For instance, many commercial banks focus on loans and credit cards. Although there are a variety of issues that could be explored in the financial domain, most researchers in the AI and NLP communities only focus on the market sentiment of the stock or foreign exchange. This open access book addresses several research issues that can broaden the research topics in the AI community. It also provides an overview of the status quo in fine-grained financial opinion mining to offer insights into the futures goals. For a better understanding of the past and the current research, it also discusses the components of financial opinions one-by-one with the related works and highlights some possible research avenues, providing a research agenda with both micro- and macro-views toward financial opinions.
    Keywords: Natural Language Processing (NLP) ; Data Mining and Knowledge Discovery ; Data Structures and Information Theory ; Artificial Intelligence ; Computer Applications ; Data Science ; Computer and Information Systems Applications ; Open Access ; financial opinion mining ; text mining in finance ; financial technology application ; FinTech ; argument mining in finance ; opinion quality evaluation ; numeral understanding ; Natural language & machine translation ; Data mining ; Expert systems / knowledge-based systems ; Algorithms & data structures ; Information theory ; Information technology: general issues ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
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    Computer Aided Verification (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: The open access two-volume set LNCS 12224 and 12225 constitutes the refereed proceedings of the 32st International Conference on Computer Aided Verification, CAV 2020, held in Los Angeles, CA, USA, in July 2020.* The 43 full papers presented together with 18 tool papers and 4 case studies, were carefully reviewed and selected from 240 submissions. The papers were organized in the following topical sections: Part I: AI verification; blockchain and Security; Concurrency; hardware verification and decision procedures; and hybrid and dynamic systems. Part II: model checking; software verification; stochastic systems; and synthesis. *The conference was held virtually due to the COVID-19 pandemic.
    Keywords: Software Engineering ; Theory of Computation ; Artificial Intelligence ; Computer Systems Organization and Communication Networks ; Computer Hardware ; Simulation and Modeling ; Computer Engineering and Networks ; Computer Science ; architecture verification and validation ; artificial intelligence ; automata theory ; computer systems ; correlation analysis ; distributed computer systems ; embedded systems ; formal languages ; formal logic ; linguistics ; model checking ; programming languages ; semantics ; software architecture ; software design ; software quality ; verification and validation ; Open Access ; Computer science ; Mathematical theory of computation ; Artificial intelligence ; Computer networking & communications ; Computer hardware ; Computer modelling & simulation ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UK Computer hardware ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation
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    On the path to AI (2021)
    Springer Nature | Springer
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    Publication Date: 2021-02-10
    Description: This open access book explores machine learning and its impact on how we make sense of the world. It does so by bringing together two ‘revolutions’ in a surprising analogy: the revolution of machine learning, which has placed computing on the path to artificial intelligence, and the revolution in thinking about the law that was spurred by Oliver Wendell Holmes Jr in the last two decades of the 19th century. Holmes reconceived law as prophecy based on experience, prefiguring the buzzwords of the machine learning age—prediction based on datasets. On the path to AI introduces readers to the key concepts of machine learning, discusses the potential applications and limitations of predictions generated by machines using data, and informs current debates amongst scholars, lawyers and policy makers on how it should be used and regulated wisely. Technologists will also find useful lessons learned from the last 120 years of legal grappling with accountability, explainability, and biased data.
    Keywords: Science and Technology Studies ; Human Geography ; IT Law, Media Law, Intellectual Property ; Artificial Intelligence ; AI ; Machine learning ; artificial intelligence ; 'big data' ; probability theory ; history of ideas ; legal interpretation ; Transhumanism ; Futurism ; Oliver Wendell Holmes Jr ; Wendell Holmes Jr. ; legal philosophy ; machine bias ; algorithmic bias ; Open Access ; Sociology ; Human geography ; Entertainment & media law ; Artificial intelligence ; bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHB Sociology ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography::RGC Human geography ; bic Book Industry Communication::L Law::LN Laws of Specific jurisdictions::LNJ Entertainment & media law ; bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence
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    Leveraging Data Science for Global Health (2021)
    Springer Nature | Springer
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    Publication Date: 2021-02-10
    Description: This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.
    Keywords: Health Informatics ; Health Economics ; Open Access ; Big Data ; Machine Learning ; Artificial Intelligence ; Digital Disease Surveillance ; Health Mapping ; Health Records for Non-Communicable Diseases ; HealthMap ; Tools for Clinical Trials ; Medical equipment & techniques ; Information technology: general issues ; Health & safety aspects of IT ; Health economics ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBG Medical equipment & techniques ; bic Book Industry Communication::U Computing & information technology::UB Information technology: general issues::UBH Health & safety aspects of IT ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCQ Health economics
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    AI based Robot Safe Learning and Control (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-11
    Description: This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning. In order to enhance the safety performance of robot systems, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain environments, obstacle avoidance in dynamic workspace. The idea for this book on solving safe control of robot arms was conceived during the industrial applications and the research discussion in the laboratory. Most of the materials in this book are derived from the authors’ papers published in journals, such as IEEE Transactions on Industrial Electronics, neurocomputing, etc. This book can be used as a reference book for researcher and designer of the robotic systems and AI based controllers, and can also be used as a reference book for senior undergraduate and graduate students in colleges and universities.
    Keywords: Robotics and Automation ; Control and Systems Theory ; Artificial Intelligence ; Robotic Engineering ; Safe Control ; Deep Reinforcement Learning ; Recurrent Neural Network ; Force Control ; Obstacle Ovoidance ; Adaptive Control ; Trajectory Tracking ; Open Access ; Robotics ; Automatic control engineering ; Artificial intelligence ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering::TJFM1 Robotics ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
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    Fundamental Approaches to Software Engineering (2021)
    Springer Nature | Springer
    Details
    Publication Date: 2024-04-14
    Description: This open access book constitutes the proceedings of the 23rd International Conference on Fundamental Approaches to Software Engineering, FASE 2020, which took place in Dublin, Ireland, in April 2020, and was held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020. The 23 full papers, 1 tool paper and 6 testing competition papers presented in this volume were carefully reviewed and selected from 81 submissions. The papers cover topics such as requirements engineering, software architectures, specification, software quality, validation, verification of functional and non-functional properties, model-driven development and model transformation, software processes, security and software evolution.
    Keywords: Software Engineering ; Special Purpose and Application-Based Systems ; Control Structures and Microprogramming ; Computer System Implementation ; Information Systems and Communication Service ; Artificial Intelligence ; open access ; software engineering ; requirements engineering ; model-based design ; software analysis ; testing ; software architectures ; security ; model transformations ; software evolution ; software product lines ; architecting ; artificial intelligence ; computer programming ; computer systems ; embedded systems ; mathematics ; software architecture ; software design ; Expert systems / knowledge-based systems ; Algorithms & data structures ; Systems analysis & design ; Computer networking & communications ; Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYD Systems analysis and design ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
    Language: English
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    Methodological Investigations in Agent-Based Modelling: With Applications for the Social Sciences (2021)
    Springer Nature
    Details
    Publication Date: 2024-03-30
    Description: Agent-Based Modelling; ABM; Artificial Intelligence; AI; Computational social science; Social simulation; Population sciences
    Keywords: Agent-Based Modelling ; ABM ; Artificial Intelligence ; AI ; Computational social science ; Social simulation ; Population sciences ; thema EDItEUR::K Economics, Finance, Business and Management ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering ; thema EDItEUR::K Economics, Finance, Business and Management ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering
    Language: English
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    Representation Learning for Natural Language Processing (2021)
    Springer Nature | Springer
    Details
    Publication Date: 2024-04-14
    Description: This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
    Keywords: Natural Language Processing (NLP) ; Computational Linguistics ; Artificial Intelligence ; Data Mining and Knowledge Discovery ; Open Access ; Deep Learning ; Representation Learning ; Knowledge Representation ; Word Representation ; Document Representation ; Big Data ; Machine Learning ; Natural Language Processing ; Natural language & machine translation ; Computational linguistics ; Artificial intelligence ; Data mining ; Expert systems / knowledge-based systems ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation ; thema EDItEUR::C Language and Linguistics::CF Linguistics::CFX Computational and corpus linguistics ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
    Language: English
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    Automated Deduction – CADE 28 (2021)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-04-14
    Description: This open access book constitutes the proceeding of the 28th International Conference on Automated Deduction, CADE 28, held virtually in July 2021. The 29 full papers and 7 system descriptions presented together with 2 invited papers were carefully reviewed and selected from 76 submissions. CADE is the major forum for the presentation of research in all aspects of automated deduction, including foundations, applications, implementations, and practical experience. The papers are organized in the following topics: Logical foundations; theory and principles; implementation and application; ATP and AI; and system descriptions.
    Keywords: Artificial Intelligence ; Mathematical Logic and Formal Languages ; Logics and Meanings of Programs ; Software Engineering ; Formal Languages and Automata Theory ; Computer Science Logic and Foundations of Programming ; automata theory ; boolean functions ; computer programming ; first order logic ; formal languages ; formal logic ; logic programming ; model checking ; program verification ; semantics ; software architecture ; software design ; software quality ; software verification ; theorem provers ; theorem proving ; Mathematical theory of computation ; Computer programming / software engineering ; Computer architecture & logic design ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering
    Language: English
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    Computer Aided Verification (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: The open access two-volume set LNCS 12224 and 12225 constitutes the refereed proceedings of the 32st International Conference on Computer Aided Verification, CAV 2020, held in Los Angeles, CA, USA, in July 2020.* The 43 full papers presented together with 18 tool papers and 4 case studies, were carefully reviewed and selected from 240 submissions. The papers were organized in the following topical sections: Part I: AI verification; blockchain and Security; Concurrency; hardware verification and decision procedures; and hybrid and dynamic systems. Part II: model checking; software verification; stochastic systems; and synthesis. *The conference was held virtually due to the COVID-19 pandemic.
    Keywords: Software Engineering ; Theory of Computation ; Computer Systems Organization and Communication Networks ; Artificial Intelligence ; Information Systems and Communication Service ; Computer Hardware ; Computer Engineering and Networks ; Database Management System ; architecture verification and validation ; artificial intelligence ; computer hardware ; computer networks ; computer programming ; computer systems ; data security ; distributed computer systems ; embedded systems ; formal logic ; linguistics ; model checking ; network protocols ; parallel processing systems ; signal processing ; software architecture ; software design ; software quality ; verification and validation ; Open Access ; Computer science ; Mathematical theory of computation ; Computer networking & communications ; Artificial intelligence ; Computer hardware ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UK Computer hardware
    Language: English
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    Methodological Investigations in Agent-Based Modelling: With Applications for the Social Sciences (2021)
    Springer Nature
    Details
    Publication Date: 2024-04-11
    Description: This open access book examines the methodological complications of using complexity science concepts within the social science domain. The opening chapters take the reader on a tour through the development of simulation methodologies in the fields of artificial life and population biology, then demonstrates the growing popularity and relevance of these methods in the social sciences. Following an in-depth analysis of the potential impact of these methods on social science and social theory, the text provides substantive examples of the application of agent-based models in the field of demography. This work offers a unique combination of applied simulation work and substantive, in-depth philosophical analysis, and as such has potential appeal for specialist social scientists, complex systems scientists, and philosophers of science interested in the methodology of simulation and the practice of interdisciplinary computing research.​
    Keywords: TP248.13-248.65 ; HB1-3840 ; Population sciences ; Artificial Intelligence ; Agent-Based Modelling ; AI ; Social simulation ; ABM ; Computational social science ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology
    Language: English
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    Evaluating Information Retrieval and Access Tasks (2021)
    Springer Nature | Springer
    Details
    Publication Date: 2024-04-14
    Description: This open access book summarizes the first two decades of the NII Testbeds and Community for Information access Research (NTCIR). NTCIR is a series of evaluation forums run by a global team of researchers and hosted by the National Institute of Informatics (NII), Japan. The book is unique in that it discusses not just what was done at NTCIR, but also how it was done and the impact it has achieved. For example, in some chapters the reader sees the early seeds of what eventually grew to be the search engines that provide access to content on the World Wide Web, today’s smartphones that can tailor what they show to the needs of their owners, and the smart speakers that enrich our lives at home and on the move. We also get glimpses into how new search engines can be built for mathematical formulae, or for the digital record of a lived human life. Key to the success of the NTCIR endeavor was early recognition that information access research is an empirical discipline and that evaluation therefore lay at the core of the enterprise. Evaluation is thus at the heart of each chapter in this book. They show, for example, how the recognition that some documents are more important than others has shaped thinking about evaluation design. The thirty-three contributors to this volume speak for the many hundreds of researchers from dozens of countries around the world who together shaped NTCIR as organizers and participants. This book is suitable for researchers, practitioners, and students—anyone who wants to learn about past and present evaluation efforts in information retrieval, information access, and natural language processing, as well as those who want to participate in an evaluation task or even to design and organize one.
    Keywords: Information Storage and Retrieval ; Evaluation ; Information Retrieval ; Multilingual Information Access ; NTCIR ; Test Collections ; Information Search ; Information Storage ; Artificial Intelligence ; Open Acces ; Information retrieval ; Data warehousing ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrieval
    Language: English
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