1,826 research outputs found

    La traduzione specializzata all’opera per una piccola impresa in espansione: la mia esperienza di internazionalizzazione in cinese di Bioretics© S.r.l.

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    Global markets are currently immersed in two all-encompassing and unstoppable processes: internationalization and globalization. While the former pushes companies to look beyond the borders of their country of origin to forge relationships with foreign trading partners, the latter fosters the standardization in all countries, by reducing spatiotemporal distances and breaking down geographical, political, economic and socio-cultural barriers. In recent decades, another domain has appeared to propel these unifying drives: Artificial Intelligence, together with its high technologies aiming to implement human cognitive abilities in machinery. The “Language Toolkit – Le lingue straniere al servizio dell’internazionalizzazione dell’impresa” project, promoted by the Department of Interpreting and Translation (ForlĂŹ Campus) in collaboration with the Romagna Chamber of Commerce (ForlĂŹ-Cesena and Rimini), seeks to help Italian SMEs make their way into the global market. It is precisely within this project that this dissertation has been conceived. Indeed, its purpose is to present the translation and localization project from English into Chinese of a series of texts produced by Bioretics© S.r.l.: an investor deck, the company website and part of the installation and use manual of the Aliquis© framework software, its flagship product. This dissertation is structured as follows: Chapter 1 presents the project and the company in detail; Chapter 2 outlines the internationalization and globalization processes and the Artificial Intelligence market both in Italy and in China; Chapter 3 provides the theoretical foundations for every aspect related to Specialized Translation, including website localization; Chapter 4 describes the resources and tools used to perform the translations; Chapter 5 proposes an analysis of the source texts; Chapter 6 is a commentary on translation strategies and choices

    Artificial intelligence in wind speed forecasting: a review

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    Wind energy production has had accelerated growth in recent years, reaching an annual increase of 17% in 2021. Wind speed plays a crucial role in the stability required for power grid operation. However, wind intermittency makes accurate forecasting a complicated process. Implementing new technologies has allowed the development of hybrid models and techniques, improving wind speed forecasting accuracy. Additionally, statistical and artificial intelligence methods, especially artificial neural networks, have been applied to enhance the results. However, there is a concern about identifying the main factors influencing the forecasting process and providing a basis for estimation with artificial neural network models. This paper reviews and classifies the forecasting models used in recent years according to the input model type, the pre-processing and post-processing technique, the artificial neural network model, the prediction horizon, the steps ahead number, and the evaluation metric. The research results indicate that artificial neural network (ANN)-based models can provide accurate wind forecasting and essential information about the specific location of potential wind use for a power plant by understanding the future wind speed values

    AI: Limits and Prospects of Artificial Intelligence

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    The emergence of artificial intelligence has triggered enthusiasm and promise of boundless opportunities as much as uncertainty about its limits. The contributions to this volume explore the limits of AI, describe the necessary conditions for its functionality, reveal its attendant technical and social problems, and present some existing and potential solutions. At the same time, the contributors highlight the societal and attending economic hopes and fears, utopias and dystopias that are associated with the current and future development of artificial intelligence

    Computational creativity: an interdisciplinary approach to sequential learning and creative generations

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    Creativity seems mysterious; when we experience a creative spark, it is difficult to explain how we got that idea, and we often recall notions like ``inspiration" and ``intuition" when we try to explain the phenomenon. The fact that we are clueless about how a creative idea manifests itself does not necessarily imply that a scientific explanation cannot exist. We are unaware of how we perform certain tasks, such as biking or language understanding, but we have more and more computational techniques that can replicate and hopefully explain such activities. We should understand that every creative act is a fruit of experience, society, and culture. Nothing comes from nothing. Novel ideas are never utterly new; they stem from representations that are already in mind. Creativity involves establishing new relations between pieces of information we had already: then, the greater the knowledge, the greater the possibility of finding uncommon connections, and the more the potential to be creative. In this vein, a beneficial approach to a better understanding of creativity must include computational or mechanistic accounts of such inner procedures and the formation of the knowledge that enables such connections. That is the aim of Computational Creativity: to develop computational systems for emulating and studying creativity. Hence, this dissertation focuses on these two related research areas: discussing computational mechanisms to generate creative artifacts and describing some implicit cognitive processes that can form the basis for creative thoughts

    New perspectives on A.I. in sentencing. Human decision-making between risk assessment tools and protection of humans rights.

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    The aim of this thesis is to investigate a field that until a few years ago was foreign to and distant from the penal system. The purpose of this undertaking is to account for the role that technology could plays in the Italian Criminal Law system. More specifically, this thesis attempts to scrutinize a very intricate phase of adjudication. After deciding on the type of an individual's liability, a judge must decide on the severity of the penalty. This type of decision implies a prognostic assessment that looks to the future. It is precisely in this field and in prognostic assessments that, as has already been anticipated in the United, instruments and processes are inserted in the pre-trial but also in the decision-making phase. In this contribution, we attempt to describe the current state of this field, trying, as a matter of method, to select the most relevant or most used tools. Using comparative and qualitative methods, the uses of some of these instruments in the supranational legal system are analyzed. Focusing attention on the Italian system, an attempt was made to investigate the nature of the element of an individual's ‘social dangerousness’ (pericolosità sociale) and capacity to commit offences, types of assessments that are fundamental in our system because they are part of various types of decisions, including the choice of the best sanctioning treatment. It was decided to turn our attention to this latter field because it is believed that the judge does not always have the time, the means and the ability to assess all the elements of a subject and identify the best 'individualizing' treatment in order to fully realize the function of Article 27, paragraph 3 of the Constitution

    Participation for health equity: a comparison of citizens’ juries and health impact assessment

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    Despite research demonstrating that the social determinants of health are the primary cause of health inequities, policy efforts in high-income countries have largely failed to produce more equitable health outcomes. Recent initiatives have aimed to create ‘healthier’ policies by incorporating public perspectives into their design, and scholarship has focused on improving participatory technologies. Yet how participation can improve health equity through policymaking for the social determinants of health remains unclear. The thesis addresses this gap by examining how two examples of participatory technologies implemented in Australia and the UK -- citizens’ juries and health impact assessment -- affected health equity. I found that the intersection between context, positionality and process generated a range of direct and distal outcomes for health equity. I conducted a qualitative comparative analysis of four case studies of participatory processes, including interviews and document analysis. In doing so, I examine how processes were contextually designed and delivered, personally experienced, and how their adaptive and interpretive nature produced outcomes relevant to health equity. Though participatory technologies were often designed and promoted as uniform tools, the context in which they were employed profoundly affected their implementation. Processes were embedded within different participatory ecologies -- histories, spaces and practices – that shaped their aims, design and delivery. Similarly, individual characteristics of participants (especially their positionality) affected how they interpreted the process: what the process could achieve and how they should participate. In turn, participants’ experiences resulted from (in)congruence between their expectations and outcomes. The participatory experience led to various personal outcomes, including civic skills, social capital and empowerment, which can benefit health equity. ‘Having a say’ was often described as the vital ingredient for why participants experienced empowerment. Yet what mattered most for generating this outcome was whether or not participants ‘felt heard.’ This dialogic process between participants ‘voicing’ and decision-makers ‘listening’ was core to the experience of empowerment. The processes also led to governance outcomes. The level of impact on the intended decision ranged, with some processes creating direct effects, but more commonly, by being situated in participatory ecologies, the processes affected change through non-linear or diffuse channels. Though public participation is often structured to achieve a technocratic goal, the processes accomplished other participatory, epistemic and institutional aims. These non-technocratic outcomes, combined with decision-making changes, could improve governance for the social determinants of health. Power acted as a mechanism that underpinned other elements of the processes. Public health theories have begun to focus on the role of power as a fundamental determinant of health inequities, and this thesis contributes to this emerging body of evidence by examining how instrumental, structural and discursive forms of power were enacted and influenced how processes were implemented, experienced, and what outcomes they produced. By examining not just what outcomes occurred but how they arose, this research develops a better understanding of the underlying mechanisms that generate outcomes. This shifts evidence from ‘perfecting the form’ toward building an understanding of how to utilise participatory approaches within specific contexts to achieve health equity benefits. The thesis highlights the need for greater consideration of context, positionality and variability of experiences in public participation. If participatory processes seek to achieve specific outcomes (healthy public policy and empowerment) that improve health equity, then consideration must be given to the mechanisms that can produce these effects

    Digital Innovations for the Circular Economy

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    Doctoral thesis (PhD) - Nord University, 2023publishedVersio

    SET2022 : 19th International Conference on Sustainable Energy Technologies 16th to 18th August 2022, Turkey : Sustainable Energy Technologies 2022 Conference Proceedings. Volume 4

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    Papers submitted and presented at SET2022 - the 19th International Conference on Sustainable Energy Technologies in Istanbul, Turkey in August 202

    A Non-Ideal Epistemology of Disagreement: Pragmatism and the Need for Democratic Inquiry

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    The aim of this thesis is to provide a non-ideal epistemic account of disagreement, one which explains how epistemic agents can find a rational resolution to disagreement in actual epistemic practice. To do this, this thesis will compare two non-ideal epistemic accounts of disagreement which have been proposed within the contemporary philosophical literature. The first is the evidentialist response to disagreement given within the recent literature on the analytic epistemology of disagreement. According to the evidentialist response to disagreement, an epistemic agent can rationally respond to disagreement by evaluating other epistemic agents as higher-order evidence, and adjusting one's belief accordingly. The second is the pragmatist response to disagreement given within the recent literature on the intersection between American pragmatism and democratic theory. According to the pragmatist response to disagreement, a collective group of epistemic agents can come to a rational resolution of disagreement through a process of social inquiry where epistemic agents cooperatively exchange ideas, reasons, and objections, and collectively form plans of action which settle collective belief. This thesis will critically examine both of these accounts, and explain how the pragmatist response to disagreement provides a better account of both the epistemic challenges which disagreement poses, and the method in which epistemic agent can come to rationally resolve disagreement in actual epistemic practice
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