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  • thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence  (23)
  • Springer International Publishing  (23)
  • English  (23)
  • French
  • Japanese
  • Polish
  • 2020-2024  (23)
  • 1980-1984
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  • English  (23)
  • French
  • Japanese
  • Polish
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  • 2020-2024  (23)
  • 1980-1984
Year
  • 1
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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
    Language: English
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  • 2
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    xxAI - Beyond Explainable AI (2022)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-04-14
    Description: This is an open access book. Statistical machine learning (ML) has triggered a renaissance of artificial intelligence (AI). While the most successful ML models, including Deep Neural Networks (DNN), have developed better predictivity, they have become increasingly complex, at the expense of human interpretability (correlation vs. causality). The field of explainable AI (xAI) has emerged with the goal of creating tools and models that are both predictive and interpretable and understandable for humans. Explainable AI is receiving huge interest in the machine learning and AI research communities, across academia, industry, and government, and there is now an excellent opportunity to push towards successful explainable AI applications. This volume will help the research community to accelerate this process, to promote a more systematic use of explainable AI to improve models in diverse applications, and ultimately to better understand how current explainable AI methods need to be improved and what kind of theory of explainable AI is needed. After overviews of current methods and challenges, the editors include chapters that describe new developments in explainable AI. The contributions are from leading researchers in the field, drawn from both academia and industry, and many of the chapters take a clear interdisciplinary approach to problem-solving. The concepts discussed include explainability, causability, and AI interfaces with humans, and the applications include image processing, natural language, law, fairness, and climate science.
    Keywords: Computer Science ; Informatics ; Conference Proceedings ; Research ; Applications ; 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
    Language: English
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  • 3
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    The Digital Playbook (2023)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-04-14
    Description: This open access book is a practitioner's guide to smart, connected products and solutions. As a hands-on playbook, it combines the business and technical execution perspectives to help product companies, OEMs, manufacturers and equipment operators utilize the full potential of digital enablers, especially Artificial Intelligence (AI), Internet of Things (IoT) and Digital Twins. The Digital Playbook provides comprehensive and actionable guidance, helping to address the challenges of creating sustainable and scalable digital business models, managing cocreation and sourcing, setting up the digital organization, and handling the legal aspects. For the technical execution perspective, the playbook includes the AIoT Framework, which explains how to combine data science and AI engineering with Digital Twins, as well as software development for cloud and edge. The integration with physical product development and retrofit integration of existing equipment is included as well. A pragmatic, agile approach is introduced that takes common agile inhibitors into consideration. A holistic AIoT DevOps approach is described, which combines key elements of DevOps for cloud, edge and AI. Enterprise readiness is ensured by looking at trust and security as well as reliability and resilience for AIoT. A large number of real-world examples and case studies help ensure practical relevance. Readers should have a previous, general understanding of digital strategies and technologies. This book offers readers a clear understanding of the opportunities, as well as the challenges related to building and operating smart, connected products and solutions. They are given a set of tools and blueprints, which they can apply to their practical work in this space. ;
    Keywords: Artificial Intelligence of Things ; Digital OEM ; Product AI ; AIoT DevOps ; Data management ; agile cloud development ; 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 ; thema EDItEUR::U Computing and Information Technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering::TJFM1 Robotics
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  • 4
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    Big Data and Artificial Intelligence in Digital Finance (2022)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-04-11
    Description: This open access book presents how cutting-edge digital technologies like Big Data, Machine Learning, Artificial Intelligence (AI), and Blockchain are set to disrupt the financial sector. The book illustrates how recent advances in these technologies facilitate banks, FinTech, and financial institutions to collect, process, analyze, and fully leverage the very large amounts of data that are nowadays produced and exchanged in the sector. To this end, the book also describes some more the most popular Big Data, AI and Blockchain applications in the sector, including novel applications in the areas of Know Your Customer (KYC), Personalized Wealth Management and Asset Management, Portfolio Risk Assessment, as well as variety of novel Usage-based Insurance applications based on Internet-of-Things data. Most of the presented applications have been developed, deployed and validated in real-life digital finance settings in the context of the European Commission funded INFINITECH project, which is a flagship innovation initiative for Big Data and AI in digital finance. This book is ideal for researchers and practitioners in Big Data, AI, banking and digital finance.
    Keywords: Artificial Intelligence and Big Data ; Digital Finance ; FinTech ; Blockchain ; RegTech ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UN Databases ; thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJQ Business mathematics and systems
    Language: English
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  • 5
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    European Language Grid (2022)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-04-14
    Description: This open access book provides an in-depth description of the EU project European Language Grid (ELG). Its motivation lies in the fact that Europe is a multilingual society with 24 official European Union Member State languages and dozens of additional languages including regional and minority languages. The only meaningful way to enable multilingualism and to benefit from this rich linguistic heritage is through Language Technologies (LT) including Natural Language Processing (NLP), Natural Language Understanding (NLU), Speech Technologies and language-centric Artificial Intelligence (AI) applications. The European Language Grid provides a single umbrella platform for the European LT community, including research and industry, effectively functioning as a virtual home, marketplace, showroom, and deployment centre for all services, tools, resources, products and organisations active in the field. Today the ELG cloud platform already offers access to more than 13,000 language processing tools and language resources. It enables all stakeholders to deposit, upload and deploy their technologies and datasets. The platform also supports the long-term objective of establishing digital language equality in Europe by 2030 – to create a situation in which all European languages enjoy equal technological support. This is the very first book dedicated to Language Technology and NLP platforms. Cloud technology has only recently matured enough to make the development of a platform like ELG feasible on a larger scale. The book comprehensively describes the results of the ELG project. Following an introduction, the content is divided into four main parts: (I) ELG Cloud Platform; (II) ELG Inventory of Technologies and Resources; (III) ELG Community and Initiative; and (IV) ELG Open Calls and Pilot Projects.
    Keywords: Language technology platform ; Language processing platform ; LT platform ; NLP platform ; Language technology directory ; Language processing directory ; LT directory ; NLP directory ; Language technology repository ; Language processing repository ; LT repository ; NLP repository ; Language data repository ; 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::UYQE Expert systems / knowledge-based systems ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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  • 6
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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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  • 7
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    Classification and Data Science in the Digital Age (2023)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-04-14
    Description: The contributions gathered in this open access book focus on modern methods for data science and classification and present a series of real-world applications. Numerous research topics are covered, ranging from statistical inference and modeling to clustering and dimension reduction, from functional data analysis to time series analysis, and network analysis. The applications reflect new analyses in a variety of fields, including medicine, marketing, genetics, engineering, and education. The book comprises selected and peer-reviewed papers presented at the 17th Conference of the International Federation of Classification Societies (IFCS 2022), held in Porto, Portugal, July 19–23, 2022. The IFCS federates the classification societies and the IFCS biennial conference brings together researchers and stakeholders in the areas of Data Science, Classification, and Machine Learning. It provides a forum for presenting high-quality theoretical and applied works, and promoting and fostering interdisciplinary research and international cooperation. The intended audience is researchers and practitioners who seek the latest developments and applications in the field of data science and classification.
    Keywords: Classification ; Data Science ; Clustering ; Statistical Learning ; Machine Learning ; Data Analysis ; Mutlivariate Analysis ; Statistical Inference ; Dimension Reduction ; Functional Data Analysis ; Time Series Analysis ; Network Analysis ; 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::UF Business applications::UFM Mathematical and statistical software ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics
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  • 8
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    Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development (2022)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-04-04
    Description: This open access book provides the first systematic overview of existing challenges and opportunities for responsible data linkage, and a cutting-edge assessment of which steps need to be taken to ensure that plant data are ethically shared and used for the benefit of ensuring global food security – one of the UN’s Sustainable Development Goals. The volume focuses on the contemporary contours of such challenges through sustained engagement with current and historical initiatives and discussion of best practices and prospective future directions for ensuring responsible plant data linkage. The volume is divided into four sections that include case studies of plant data use and linkage in the context of particular research projects, breeding programs, and historical research. It address technical challenges of data linkage in developing key tools, standards and infrastructures, and examines governance challenges of data linkage in relation to socioeconomic and environmental research and data collection. Finally, the last section addresses issues raised by new data production and linkage methods for the inclusion of agriculture’s diverse stakeholders. This book brings together leading experts in data curation, data governance and data studies from a variety of fields, including data science, plant science, agricultural research, science policy, data ethics and the philosophy, history and social studies of plant science.
    Keywords: plant sciences and data linkage ; Technical Challenges of Data Linkage ; Governance Challenges of Data Linkage ; Subsistence and Agronomy: Carl Linnaeus ; Managing Data in Crop Breeding ; Data, Duplication, and the Decentralisation of Crop Collections ; Data Management multi-Disciplinary African RTB Crop Breeding ; Potential of Long-Term Agricultural Experiments ; Trials of Linking and Sharing Wheat Research Data ; Plant Scientific Data Integration ; Building Community Standards plant scientific data integration ; Consistent Data Lifecycle plant sciences ; COVID-19 Open Research Dataset ; agriculture data sciences ; Digital Marketplace for Agrobiodiversity ; Plant Genetic Sequence Data ; Digital Sequence Genetic Resources plant sciences ; plant sciences data policy ; Crop Diversity Management data sharing ; thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDA Philosophy of science ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences ; 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
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  • 9
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    Handbook of Computational Social Science for Policy (2023)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-04-14
    Description: This open access handbook describes foundational issues, methodological approaches and examples on how to analyse and model data using Computational Social Science (CSS) for policy support. Up to now, CSS studies have mostly developed on a small, proof-of concept, scale that prevented from unleashing its potential to provide systematic impact to the policy cycle, as well as from improving the understanding of societal problems to the definition, assessment, evaluation, and monitoring of policies. The aim of this handbook is to fill this gap by exploring ways to analyse and model data for policy support, and to advocate the adoption of CSS solutions for policy by raising awareness of existing implementations of CSS in policy-relevant fields. To this end, the book explores applications of computational methods and approaches like big data, machine learning, statistical learning, sentiment analysis, text mining, systems modelling, and network analysis to different problems in the social sciences. The book is structured into three Parts: the first chapters on foundational issues open with an exposition and description of key policymaking areas where CSS can provide insights and information. In detail, the chapters cover public policy, governance, data justice and other ethical issues. Part two consists of chapters on methodological aspects dealing with issues such as the modelling of complexity, natural language processing, validity and lack of data, and innovation in official statistics. Finally, Part three describes the application of computational methods, challenges and opportunities in various social science areas, including economics, sociology, demography, migration, climate change, epidemiology, geography, and disaster management. The target audience of the book spans from the scientific community engaged in CSS research to policymakers interested in evidence-informed policy interventions, but also includes private companies holding data that can be used to study social sciences and are interested in achieving a policy impact.
    Keywords: Computational Social Science ; Data Science ; Big Data Analytics ; Statistical Learning ; Machine Learning ; Sentiment Analysis ; Natural Language Processing ; 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::P Mathematics and Science::PB Mathematics::PBT Probability and statistics ; thema EDItEUR::J Society and Social Sciences ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
    Language: English
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  • 10
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    Mission AI (2023)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-04-07
    Description: This open access book offers a strategic perspective on AI and the process of embedding it in society. ​After decades of research, Artificial Intelligence (AI) is now entering society at large. Due to its general purpose character, AI will change society in multiple, fundamental and unpredictable ways. Therefore, the Netherlands Scientific Council for Government Policy (WRR) characterizes AI as a system technology: a rare type of technologies that have a systemic impact on society. Earlier system technologies include electricity, the combustion engine and the computer. The history of these technologies provides us with useful insights about what it takes to direct the introduction of AI in society. The WRR identifies five key tasks to structurally work on this process: demystification, contextualisation, engagement, regulation and positioning. By clarifying what AI is (demystification), creating a functional ecosystem (contextualisation), involving diverse stakeholders (engagement), developing directive frameworks (regulation) and engaging internationally (positioning), societies can meaningfully influence how AI settles. Collectively, these activities steer the process of co-development between technology and society, and each representing a different path to safeguard public values. Mission AI - The New System Technology was originally published as an advisory report for the government of the Netherlands. The strategic analysis and the outlined recommendations are, however, relevant to every government and organization that aims to take up 'misson AI' and embed this newest system technology in our world.
    Keywords: Artificial intelligence ; Public policy ; Strategic governance of technology ; Safeguarding public values ; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
    Language: English
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  • 11
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    Nordic Artificial Intelligence Research and Development (2023)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-04-14
    Description: This book constitutes the refereed proceedings of the 4th Symposium of the Norwegian AI Society, NAIS 2022, held in Oslo, Norway, during May 31–June 1, 2022. The 11 full papers included in this book were carefully reviewed and selected from 17 submissions. They were organized in topical sections as follows: robotics and intelligent systems; ai in cyber and digital sphere; ai in biological applications and medicine; and towards new ai methods. This is an open access book.
    Keywords: artificial intelligence ; clustering algorithms ; computer security ; computer vision ; correlation analysis ; data handling ; data integration ; engineering ; expert systems ; Human-Computer Interaction (HCI) ; image analysis ; image processing ; integrated data ; machine learning ; network protocols ; software engineering ; unsupervised learning ; 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::UY Computer science::UYQ Artificial intelligence::UYQV Computer vision ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering ; 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::UY Computer science::UYQ Artificial intelligence::UYQV Computer vision ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering
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  • 12
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    Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2022 (2023)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-04-11
    Description: This Open Access proceedings presents a good overview of the current research landscape of assembly, handling and industrial robotics. The objective of MHI Colloquium is the successful networking at both academic and management level. Thereby, the colloquium focuses an academic exchange at a high level in order to distribute the obtained research results, to determine synergy effects and trends, to connect the actors in person and in conclusion, to strengthen the research field as well as the MHI community. In addition, there is the possibility to become acquatined with the organizing institute. Primary audience is formed by members of the scientific society for assembly, handling and industrial robotics (WGMHI).
    Keywords: Assembly Processes & Systems ; Handling & Grasping ; Modelling & Simulation ; Human-robot-collaboration ; Industry 4.0 ; Industrial Robotics ; 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 ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
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  • 13
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    New Metropolitan Perspectives (2023)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-04-14
    Description: This open access book conveys attention to the theme of transition towards resilience and sustainability and its evolutionary perspective that emphasizes the complexity and uncertainty that governments and society are called to address in response to the ongoing challenges. "New Metropolitan Perspective Post COVID Dynamics: Green and Digital Transition, between Metropolitan and Return to Villages’ Perspectives”, 25–27 May 2022, Reggio Calabria, Italy. The papers included in the book are grouped around the following main topics: the envisaged transition towards resilience and sustainability; the relevance of the planning dimension for defining sustainable development pathways and managing complexity; and the green and digital transition by glimpsing at approaches, experiences, and cases that outline innovative solutions in cities and inner areas. The book primarily targets the academic and policymaker communities involved in managing the complexity of the transition for regions and cities.
    Keywords: Urban Transition ; Peripheral areas ; Scientific computing and data processing ; Resilience and Recovery ; Research & open innovation ; European Industrial Ecosystem ; Technological resilience ; Knowledge complexity ; Evolutionary economy ; Digital Transition ; Energy-Mobility-Food Systems ; Sustainability transitions ; NMP 2022 ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCP Political economy
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  • 14
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    Foundation Models for Natural Language Processing (2023)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-04-14
    Description: This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a revolutionary new paradigm has been developed for training models for NLP. These models are first pre-trained on large collections of text documents to acquire general syntactic knowledge and semantic information. Then, they are fine-tuned for specific tasks, which they can often solve with superhuman accuracy. When the models are large enough, they can be instructed by prompts to solve new tasks without any fine-tuning. Moreover, they can be applied to a wide range of different media and problem domains, ranging from image and video processing to robot control learning. Because they provide a blueprint for solving many tasks in artificial intelligence, they have been called Foundation Models. After a brief introduction to basic NLP models the main pre-trained language models BERT, GPT and sequence-to-sequence transformer are described, as well as the concepts of self-attention and context-sensitive embedding. Then, different approaches to improving these models are discussed, such as expanding the pre-training criteria, increasing the length of input texts, or including extra knowledge. An overview of the best-performing models for about twenty application areas is then presented, e.g., question answering, translation, story generation, dialog systems, generating images from text, etc. For each application area, the strengths and weaknesses of current models are discussed, and an outlook on further developments is given. In addition, links are provided to freely available program code. A concluding chapter summarizes the economic opportunities, mitigation of risks, and potential developments of AI.
    Keywords: Pre-trained Language Models ; Deep Learning ; Natural Language Processing ; Transformer Models ; BERT ; GPT ; Attention Models ; Natural Language Understanding ; Multilingual Models ; Natural Language Generation ; Chatbot ; Foundation Models ; Information Extraction ; Text Generation ; 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::UYQE Expert systems / knowledge-based systems ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
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  • 15
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    Ethics of Artificial Intelligence (2022)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-04-08
    Description: This open access collection of AI ethics case studies is the first book to present real-life case studies combined with commentaries and strategies for overcoming ethical challenges. Case studies are one of the best ways to learn about ethical dilemmas and to achieve insights into various complexities and stakeholder perspectives. Given the omnipresence of AI ethics in academic, policy and media debates, the book will be suitable for a wide range of audiences, from scholars of different disciplines (e.g. AI science, ethics, politics, philosophy, economics) to policy-makers, lobbying NGOs, teachers and the educated public.
    Keywords: Artificial intelligence, AI ; Ethics of technology ; Computer ethics ; Information ethics ; Responsible research and innovation ; bic Book Industry Communication::H Humanities::HP Philosophy::HPQ Ethics & moral philosophy ; bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence ; bic Book Industry Communication::H Humanities::HP Philosophy ; bic Book Industry Communication::U Computing & information technology::UB Information technology: general issues::UBJ Ethical & social aspects of IT ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTQ Ethics and moral philosophy ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy ; 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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  • 16
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    Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021 (2022)
    Springer Nature | Springer International Publishing
    Details
    Publication Date: 2024-04-11
    Description: This Open Access proceedings presents a good overview of the current research landscape of assembly, handling and industrial robotics. The objective of MHI Colloquium is the successful networking at both academic and management level. Thereby, the colloquium focuses an academic exchange at a high level in order to distribute the obtained research results, to determine synergy effects and trends, to connect the actors in person and in conclusion, to strengthen the research field as well as the MHI community. In addition, there is the possibility to become acquatined with the organizing institute. Primary audience is formed by members of the scientific society for assembly, handling and industrial robotics (WGMHI).
    Keywords: Open Access ; Assembly Processes & Systems ; Handling & Grasping ; Modelling & Simulation ; Human-robot-collaboration ; Industrial Robotics ; 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 ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
    Language: English
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    Cloud-Based Remote Sensing with Google Earth Engine (2023)
    Springer Nature | Springer International Publishing
    Details
    Publication Date: 2024-04-11
    Description: This book guides its audience—which can range from novice users to experts— though a 55-chapter tour of Google Earth Engine. A sequenced and diverse set of lab materials, this is the product of more than a year of effort from more than a hundred individuals, collecting new exercises from professors, undergraduates, master’s students, PhD students, postdocs, and independent consultants. Cloud Based Remote Sensing with Google Earth Engine is broadly organized into two halves. The first half, Fundamentals, is a set of 31 labs designed to take the reader from being a complete Earth Engine novice to being a quite advanced user. The second half, Applications, presents a tour of the world of Earth Engine across 24 chapters, showing how it is used in a very wide variety of settings that rely on remote-sensing data This is an open access book.
    Keywords: Cloud computing ; Remote sensing ; Satellite imagery ; Big data ; Image processing ; Historical change ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology::TQD Environmental monitoring ; thema EDItEUR::P Mathematics and Science::PN Chemistry::PNF Analytical chemistry ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQV Computer vision ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TT Other technologies and applied sciences::TTB Applied optics::TTBM Imaging systems and technology ; 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
    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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    Computational Science – ICCS 2022 (2023)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-04-14
    Description: The four-volume set LNCS 13350, 13351, 13352, and 13353 constitutes the proceedings of the 22ndt International Conference on Computational Science, ICCS 2022, held in London, UK, in June 2022.* The total of 175 full papers and 78 short papers presented in this book set were carefully reviewed and selected from 474 submissions. 169 full and 36 short papers were accepted to the main track; 120 full and 42 short papers were accepted to the workshops/ thematic tracks. *The conference was held in a hybrid format This is an open access book.
    Keywords: artificial intelligence ; communication systems ; computer networks ; computer systems ; computer vision ; correlation analysis ; data mining ; image analysis ; image processing ; machine learning ; network protocols ; neural networks ; numerical methods ; signal processing ; telecommunication systems ; 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::UY Computer science::UYA Mathematical theory of computation ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQV Computer vision
    Language: English
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    Tools and Algorithms for the Construction and Analysis of Systems (2022)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-04-14
    Description: This open access book constitutes the proceedings of the 28th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2022, which was held during April 2-7, 2022, in Munich, Germany, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022. The 46 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 159 submissions. The proceedings also contain 16 tool papers of the affiliated competition SV-Comp and 1 paper consisting of the competition report. TACAS is a forum for researchers, developers, and users interested in rigorously based tools and algorithms for the construction and analysis of systems. The conference aims to bridge the gaps between different communities with this common interest and to support them in their quest to improve the utility, reliability, exibility, and efficiency of tools and algorithms for building computer-controlled systems.
    Keywords: embedded systems ; formal languages and automata theory ; Formal methods and theory of security ; Machine learning ; Modeling and simulation ; Semantics and reasoning ; software and hardware verification ; specification and verification techniques ; static and dynamic program analysis ; Symbolic and algebraic manipulation ; system construction and transformation techniques ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPJ Coding theory and cryptology ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; 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
    Language: English
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    AI in Learning: Designing the Future (2023)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-03-29
    Description: AI (Artificial Intelligence) is predicted to radically change teaching and learning in both schools and industry causing radical disruption of work. AI can support well-being initiatives and lifelong learning but educational institutions and companies need to take the changing technology into account. Moving towards AI supported by digital tools requires a dramatic shift in the concept of learning, expertise and the businesses built off of it. Based on the latest research on AI and how it is changing learning and education, this book will focus on the enormous opportunities to expand educational settings with AI for learning in and beyond the traditional classroom. This open access book also introduces ethical challenges related to learning and education, while connecting human learning and machine learning. This book will be of use to a variety of readers, including researchers, AI users, companies and policy makers.
    Keywords: artificial intelligence ; life-long learning ; tutoring ; virtual learning ; learning analytics ; well-being ; simulations ; games ; intelligent digital tools ; deep learning ; robotics ; human-machine interaction ; bic Book Industry Communication::J Society & social sciences::JM Psychology ; bic Book Industry Communication::U Computing & information technology::UB Information technology: general issues ; bic Book Industry Communication::J Society & social sciences::JN Education ; bic Book Industry Communication::H Humanities::HP Philosophy::HPM Philosophy of mind ; bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::J Society and Social Sciences::JM Psychology ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics ; thema EDItEUR::J Society and Social Sciences::JN Education ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTM Philosophy of mind ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
    Language: English
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    Quantitative Sustainability (2024)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-04-05
    Description: This open access book focuses on how scientific methodologies can help industrial managers, entrepreneurs and policymakers handle the 17 Sustainable Development Goals in an efficient and realistic way. It also offers an operative scheme for scientists to overcome their discipline barriers. Is interdisciplinarity an intrinsic research value or is it merely instrumental for handling the increasing flux of open problems that sustainability poses to science?Can these problems of sustainability be solved with what the authors already know? Is it just a matter of having the right people at the table and giving them sufficient resources, or is it something more? Is meeting the needs of the present without compromising those of future generations a scientific definition of sustainable development? Questions similar to those posed in the sixties regarding complexity must be asked about sustainability today. In addition, the new data science includes powerful tools for making novel quantitative predictions about future sustainability indicators, an open problem that the book discusses. This book is primarily addressed to Ph.D. students, postdocs and senior researchers in the Life and Hard Science (LHS) and Social Sciences and Humanities (SSH) disciplines, as well as professionals of the primary, secondary and tertiary industrial sectors.
    Keywords: Sustainable Development Goals ; Data science in Sustainability ; SDG Targets ; Data Science in Sustainable Development Goals ; Complex Network ; Food Security ; Climate Changes ; Environmental Changes ; Human Ecology ; Sustainable Economy ; Space Science ; Platform For a Science-industry Dialogue ; Industrial Processes ; thema EDItEUR::P Mathematics and Science::PH Physics::PHS Statistical physics ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNU Sustainability ; 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::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAF Ecological science, the Biosphere ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TD Industrial chemistry and manufacturing technologies::TDC Industrial chemistry and chemical engineering::TDCT Food and beverage technology
    Language: English
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    The Road to General Intelligence (2022)
    Springer Nature | Springer International Publishing
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    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
    Language: English
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