1,795 research outputs found

    Multidisciplinary perspectives on Artificial Intelligence and the law

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    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.info:eu-repo/semantics/publishedVersio

    Synthetic Aperture Radar (SAR) Meets Deep Learning

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    This reprint focuses on the application of the combination of synthetic aperture radars and depth learning technology. It aims to further promote the development of SAR image intelligent interpretation technology. A synthetic aperture radar (SAR) is an important active microwave imaging sensor, whose all-day and all-weather working capacity give it an important place in the remote sensing community. Since the United States launched the first SAR satellite, SAR has received much attention in the remote sensing community, e.g., in geological exploration, topographic mapping, disaster forecast, and traffic monitoring. It is valuable and meaningful, therefore, to study SAR-based remote sensing applications. In recent years, deep learning represented by convolution neural networks has promoted significant progress in the computer vision community, e.g., in face recognition, the driverless field and Internet of things (IoT). Deep learning can enable computational models with multiple processing layers to learn data representations with multiple-level abstractions. This can greatly improve the performance of various applications. This reprint provides a platform for researchers to handle the above significant challenges and present their innovative and cutting-edge research results when applying deep learning to SAR in various manuscript types, e.g., articles, letters, reviews and technical reports

    Disinformation and Fact-Checking in Contemporary Society

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    Funded by the European Media and Information Fund and research project PID2022-142755OB-I00

    LIPIcs, Volume 261, ICALP 2023, Complete Volume

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    LIPIcs, Volume 261, ICALP 2023, Complete Volum

    The web-based simulation and information service for multi-hazard impact chains. Design document.

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    The overall objective of the PARATUS project and the platform is the co-development of a web-based simulation and information service for first and second responders and other stakeholders to evaluate the impact chains of multi-hazard events with particular emphasis on cross-border and cascading impacts. This deliverable provides a first impression of the platform and its components. A central theme in the PARATUS project is the co-development of the tools with stakeholders. The central stakeholders within the four applications case studies are therefore full project partners. They will be directly involved in the development of the platform. We foresee that the PARATUS Platform will have two major blocks: an information service that provides static information (or regularly updated information) and simulation service, which is a dynamic component where stakeholders can interactively work with the tools in the platform. The PARATUS will further make sure that documentation (e.g., software accompanying documentation) is also publicly available via the project website1 and other trusted repositories. The deliverable 4.1 was submitted to the European Commission on 31/07/2023 and is waiting for approval by the Research Executive Agency. Therefore, this current version may not represent the final version of the deliverable

    Large-Scale surveys for continuous gravitational waves: from data preparation to multi-stage hierarchical follow-ups

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    The gravitational wave event GW150914 was the first direct detection of gravitational waves roughly 100 years after their prediction by Albert Einstein. The detection was a breakthrough, opening another channel to observe the Universe. Since then over 90 detections of merging compact objects have been made, most of them coalescences of binary black holes of different masses. There have been two black hole-neutron star, and two binary neutron-star mergers. Another breakthrough was the first binary neutron-star merger, GW170817, associated with a slew of electromagnetic observations, including a gamma-ray burst 1.7s after the merger. Compact binary coalescence events are cataclysmic events in which multiple solar masses are emitted in gravitational waves in ~seconds. Still, their gravitational wave detection requires sophisticated measuring devices: kilometer-scale laser interferometers. Another not yet detected form of gravitational radiation are continuous gravitational waves from e.g., but not limited to, fast-spinning neutron stars nonaxisymmetric relatively to their rotational axis. The gravitational wave amplitude on Earth is orders of magnitude weaker than the compact binary coalescence events, but, in the case of the nonaxisymmetric neutron star, is emitted as long as the neutron star is spinning and sustaining the deformation, which may be months to years. The gravitational wave is mostly emitted at twice the rotational frequency, with a possible frequency evolution (spin-down) due to the energy emitted by gravitational waves, as well as other braking mechanisms. This nearly monochromatic continuous wave is received by observers on Earth Doppler modulated by Earth's orbit and spin. Although the waveform is seemingly simple, the detection problem for signals from unknown sources is very challenging. The all-sky search for unknown neutron stars in our galaxy detailed in this work used the volunteer distributed computing project Einstein@Home and the ATLAS supercomputer for several months, taking tens of thousands of total CPU-time years to complete. In this work I describe the full-scale data analysis procedure, including data preparation, search set-up optimization and post-processing of search results, whose design and implementation is the core of my doctoral research work. I also present a number of observational results that demonstrate the real-world application of the methodologies that I designed.Das Gravitationswellenereignis GW150914 war der erste direkte Nachweis von Gravitationswellen rund 100 Jahre nach deren Vorhersage durch Albert Einstein. Die Entdeckung war ein Durchbruch und eröffnete einen weiteren Kanal zur Beobachtung des Universums. Seitdem wurden über 90 weitere verschmelzende kompakte Objekte entdeckt, die meisten binäre schwarze Löcher unterschiedlicher Masse, aber auch zweimal verschmelzende Schwarze Löcher mit Neutronensternen und zwei Verschmelzungen von binären Neutronensternen. Ein weiterer Durchbruch war die Beobachtung der ersten Verschmelzung zweier Neutronensterne, GW170817, die mit einer Reihe von elektromagnetischen Beobachtungen einherging, darunter ein Gammastrahlenausbruch 1.7s nach der Verschmelzung. Bei der Verschmelzung kompakter Objekte handelt es sich um kataklysmische Ereignisse, bei denen innerhalb von ~Sekunden mehrere Sonnenmassen in Form von Gravitationswellen ausgestoßen werden. Ihr Nachweis erfordert jedoch hochentwickelte Messgeräte: Laserinterferometer im Kilometermaßstab. Eine weitere, noch nicht nachgewiesene Form der Gravitationsstrahlung sind kontinuierliche Gravitationswellen, die z.B., aber nicht nur, von schnell rotierenden Neutronensternen ausgehen, die relativ zu ihrer Rotationsachse nicht achsensymmetrisch sind. Die Amplitude der kontinuierlichen Gravitationswellen auf der Erde ist um Größenordnungen schwächer als die der verschmelzenden kompakten Objekte, wird aber im Fall des nicht achsensymmetrischen Neutronensterns so lange abgestrahlt, wie der Neutronenstern rotiert und die Deformation aufrechterhält, was Monate bis Jahre sein können. Die Gravitationswelle wird meist mit der doppelten Rotationsfrequenz ausgestrahlt, wobei eine Frequenzentwicklung (Spin-down) aufgrund der von Gravitationswellen ausgesandten Energie, sowie anderer Bremsmechanismen möglich ist. Diese nahezu monochromatische, kontinuierliche Welle wird von einem Beobachter auf der Erde Doppler-moduliert durch die Erdumlaufbahn und die Erddrehung empfangen. Obwohl die Wellenform scheinbar einfach ist, ist das Problem des Nachweises von Signalen aus unbekannten Quellen eine große Herausforderung. Die in dieser Arbeit beschriebene Suche nach unbekannten Neutronensternen in unserer Galaxie über den kompletten Himmel verwendete über mehrere Monate hinweg das Volunteer-Computing-Projekt Einstein@Home und den ATLAS-Supercomputer und benötigte insgesamt Zehntausende von Jahren an Rechenzeit. In dieser Arbeit beschreibe ich das vollständige Datenanalyseverfahren einschließlich der Datenvorbereitung, der Optimierung der Suchparameter und der Nachbearbeitung der Suchergebnisse, dessen Entwurf und Implementierung das Kernstück meiner Doktorarbeit darstellt. Außerdem stelle ich eine Reihe von Beobachtungsergebnissen vor, welche die praktische Anwendung der von mir entwickelten Methoden demonstrieren

    Creativity in Art, Design and Technology

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    Human creators are capable of great feats of imagination and inventive-ness. History and tradition testify to the masterpieces that have been produced over the centuries. Most of these have been created in human time with the tools that were available. The current digital revolution is providing a new set of tools and environ-ments that creators can use, but this does raise issues such as to how best to preserve traditions and esthetic values that have been built up over many generations. Tech-nology can provide both continuity and discontinuity which has both opportunities and challenges. A number of the factors influencing creativity are summarized, and suggestions made for evaluating the outcomes of the creative process. Mixed inter-disciplinary environments offer opportunities for the production of creative works. The rise of commercial art for the Internet and interactive gaming is noted
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