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                <text>This open access book provides a state-of-the-art overview of current machine learning research and its exploitation in various application areas. It has become apparent that the deep integration of artificial intelligence (AI) methods in products and services is essential for companies to stay competitive. The use of AI allows large volumes of data to be analyzed, patterns and trends to be identified, and well-founded decisions to be made on an informative basis. It also enables the optimization of workflows, the automation of processes and the development of new services, thus creating potential for new business models and significant competitive advantages.&#13;
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The book is divided in two main parts: First, in a theoretically oriented part, various AI/ML-related approaches like automated machine learning, sequence-based learning, deep learning, learning from experience and data, and process-aware learning are explained. In a second part, various applications are presented that benefit from the exploitation of recent research results. These include autonomous systems, indoor localization, medical applications, energy supply and networks, logistics networks, traffic control, image processing, and IoT applications.&#13;
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Overall, the book offers professionals and applied researchers an excellent overview of current exploitations, approaches, and challenges of AI/ML-related research.</text>
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After a short dive into 19th-century geometry of plane curves, we turn to problems expressed by polynomial equations over the real numbers. The solution sets are real algebraic varieties. Many of our metric problems arise in data science, optimization, and statistics. These include minimizing Wasserstein distances in machine learning, maximum likelihood estimation, computing curvature, or minimizing the Euclidean distance to a variety.&#13;
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This book addresses a wide audience of researchers and students and can be used for a one-semester course at the graduate level. The key prerequisite is a solid foundation in undergraduate mathematics, especially in algebra and geometry.</text>
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                <text>This open access book invites readers to explore the emerging opportunities and strategic significance of quantum technologies in the context of cybersecurity. It collects the latest trends and insights into the evolution of quantum computing and quantum communication, offering valuable guidance. To this end, it brings together comprehensive trends, research, and insights from more than 40 leading experts from around the globe to provide a deep understanding of the opportunities, challenges, and implications of quantum technologies for cyber defense.&#13;
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Divided in three parts, the book examines core advancements in various types of quantum technologies and also addresses the key obstacles that limit progress. It explores the potential disruptions to current cryptographic standards alongside potential solutions, as well as global quantum strategies and tools designed to monitor trends in quantum technologies.&#13;
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This is the third book in a series published by the Technology Monitoring (TM) team of the Cyber-Defence Campus. It serves as a resource for researchers, cybersecurity specialists, policymakers, and industry leaders navigating the rapidly evolving quantum landscape. It aims to foster informed decision-making and encourage collaboration across sectors.</text>
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                <text>This open-access book presents the main scientific results from the H2020 GUARD project. The GUARD project aims at filling the current technological gap between software management paradigms and cybersecurity models, the latter still lacking orchestration and agility to effectively address the dynamicity of the former. This book provides a comprehensive review of the main concepts, architectures, algorithms, and non-technical aspects developed during three years of investigation; the description of the Smart Mobility use case developed at the end of the project gives a practical example of how the GUARD platform and related technologies can be deployed in practical scenarios.&#13;
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We expect the book to be interesting for the broad group of researchers, engineers, and professionals daily experiencing the inadequacy of outdated cybersecurity models for modern computing environments and cyber-physical systems.</text>
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