91 research outputs found

    Multidisciplinary perspectives on Artificial Intelligence and the law

    Get PDF
    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

    LIPIcs, Volume 251, ITCS 2023, Complete Volume

    Get PDF
    LIPIcs, Volume 251, ITCS 2023, Complete Volum

    LIPIcs, Volume 261, ICALP 2023, Complete Volume

    Get PDF
    LIPIcs, Volume 261, ICALP 2023, Complete Volum

    Geographic information extraction from texts

    Get PDF
    A large volume of unstructured texts, containing valuable geographic information, is available online. This information – provided implicitly or explicitly – is useful not only for scientific studies (e.g., spatial humanities) but also for many practical applications (e.g., geographic information retrieval). Although large progress has been achieved in geographic information extraction from texts, there are still unsolved challenges and issues, ranging from methods, systems, and data, to applications and privacy. Therefore, this workshop will provide a timely opportunity to discuss the recent advances, new ideas, and concepts but also identify research gaps in geographic information extraction

    Jornadas Nacionales de Investigación en Ciberseguridad: actas de las VIII Jornadas Nacionales de Investigación en ciberseguridad: Vigo, 21 a 23 de junio de 2023

    Get PDF
    Jornadas Nacionales de Investigación en Ciberseguridad (8ª. 2023. Vigo)atlanTTicAMTEGA: Axencia para a modernización tecnolóxica de GaliciaINCIBE: Instituto Nacional de Cibersegurida

    Optimizing quantum circuit layouts

    Get PDF
    Un dels problemes amb els quals s'enfronta la computació quàntica és el de l'optimització de la compilació d'un circuit quàntic. El procés de compilació inclou bàsicament dues etapes: síntesi del circuit a executar en termes de les portes quàntiques suportades pel processador, i adaptació del circuit a executar a les limitacions de connectivitat imposades pel processador. En aquest treball, he abordat el segon d'aquests problemes, conegut amb el nom de Quantum Circuit Layout (QCL). Per a la seva resolució, he intentat usar tècniques de Reinforcement Learning (RL), que requereixen modelitzar prèviament el problema en termes d'un Markov Decision Process (MDP). En concret, descric dos MDP's finits la solució dels quals proporciona una solució a una part del problema del QCL. El problema principal és dissenyar un mètode que permeti efectivament resoldre aquests MDP's, ni que sigui de manera aproximada. En el treball es discuteixen dues aproximacions al problema. La primera d'elles utilitza una variant de l'algoritme usat per AlphaZero, dissenyat amb l'objectiu d'entrenar a una màquina per tal que aprengui a jugar als jocs d'Escacs, Shogi i Go. La segona utilitza una aproximació més estàndard coneguda com a Deep Q-Learning (DQL).One of the challenges in quantum computing is the problem of optimizing quantum circuit compilation. The compilation process involves two main stages: synthesizing the circuit to be executed in terms of the quantum gates supported by the processor, and adapting the circuit to the connectivity limitations imposed by the processor. In this work, I have addressed the second of these problems, known as Quantum Circuit Layout (QCL). To tackle this problem, I have attempted to use Reiforcement Learning (RL) techniques, which require modeling the problem as a Markov Decision Process (MDP). Specifically, I describe two finite MDPs whose solution provides a solution to a part of the QCL problem. The main problem is to design a method that effectively solves these MDPs, even if it is only an approximate solution. In the thesis two approaches to the problem are discussed. The first one uses a variant of the algorithm used in AlphaZero, designed to train a machine to learn how to play Chess, Shogi, and Go. The second approach uses a more standard approximation known as Deep Q-Learning (DQL)

    Review of Particle Physics

    Get PDF
    The Review summarizes much of particle physics and cosmology. Using data from previous editions, plus 2,143 new measurements from 709 papers, we list, evaluate, and average measured properties of gauge bosons and the recently discovered Higgs boson, leptons, quarks, mesons, and baryons. We summarize searches for hypothetical particles such as supersymmetric particles, heavy bosons, axions, dark photons, etc. Particle properties and search limits are listed in Summary Tables. We give numerous tables, figures, formulae, and reviews of topics such as Higgs Boson Physics, Supersymmetry, Grand Unified Theories, Neutrino Mixing, Dark Energy, Dark Matter, Cosmology, Particle Detectors, Colliders, Probability and Statistics. Among the 120 reviews are many that are new or heavily revised, including a new review on Machine Learning, and one on Spectroscopy of Light Meson Resonances. The Review is divided into two volumes. Volume 1 includes the Summary Tables and 97 review articles. Volume 2 consists of the Particle Listings and contains also 23 reviews that address specific aspects of the data presented in the Listings. The complete Review (both volumes) is published online on the website of the Particle Data Group (pdg.lbl.gov) and in a journal. Volume 1 is available in print as the PDG Book. A Particle Physics Booklet with the Summary Tables and essential tables, figures, and equations from selected review articles is available in print, as a web version optimized for use on phones, and as an Android app.United States Department of Energy (DOE) DE-AC02-05CH11231government of Japan (Ministry of Education, Culture, Sports, Science and Technology)Istituto Nazionale di Fisica Nucleare (INFN)Physical Society of Japan (JPS)European Laboratory for Particle Physics (CERN)United States Department of Energy (DOE

    Expanding the Horizons of Manufacturing: Towards Wide Integration, Smart Systems and Tools

    Get PDF
    This research topic aims at enterprise-wide modeling and optimization (EWMO) through the development and application of integrated modeling, simulation and optimization methodologies, and computer-aided tools for reliable and sustainable improvement opportunities within the entire manufacturing network (raw materials, production plants, distribution, retailers, and customers) and its components. This integrated approach incorporates information from the local primary control and supervisory modules into the scheduling/planning formulation. That makes it possible to dynamically react to incidents that occur in the network components at the appropriate decision-making level, requiring fewer resources, emitting less waste, and allowing for better responsiveness in changing market requirements and operational variations, reducing cost, waste, energy consumption and environmental impact, and increasing the benefits. More recently, the exploitation of new technology integration, such as through semantic models in formal knowledge models, allows for the capture and utilization of domain knowledge, human knowledge, and expert knowledge toward comprehensive intelligent management. Otherwise, the development of advanced technologies and tools, such as cyber-physical systems, the Internet of Things, the Industrial Internet of Things, Artificial Intelligence, Big Data, Cloud Computing, Blockchain, etc., have captured the attention of manufacturing enterprises toward intelligent manufacturing systems
    • …
    corecore