يعرض 1 - 20 نتائج من 91 نتيجة بحث عن '(( ai larger decrease ) OR ( ai large degree ))', وقت الاستعلام: 0.22s تنقيح النتائج
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    Future use of AI tools in scientific production. حسب Michele Salvagno (11635993)

    منشور في 2024
    "…To understand the scientific community’s understanding and perspective on the role of Artificial Intelligence (AI) in research and authorship, a survey was designed for corresponding authors in top medical journals. …"
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    A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models حسب Stephen R. Pfohl (5392586)

    منشور في 2024
    "…Singhal, K., Azizi, S., Tu, T. et al. Large language models encode clinical knowledge. …"
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    Trust, AI, and Synthetic Biometrics حسب Patrick G Tinsley (18407169)

    منشور في 2024
    "…Artificial Intelligence-based image generation has recently seen remarkable advancements, largely driven by deep learning techniques, such as Generative Adversarial Networks (GANs). …"
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    Gen AI and Journalism: towards common principles حسب Michael Davis (17586303)

    منشور في 2025
    "…Some had officially adopted generative AI to assist with research, particularly analysis and summarisation of large amounts of information and there was an optimism about the future possibilities generative AI could offer.  …"
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    Project Summary: The AI Design Ed project حسب AnneMarie McKenna (20715786)

    منشور في 2025
    "…Design students are familiar with AI tools; however, they are largely discouraged from utilising them creating a punitive approach and lack of transparency. …"
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    Generative AI and Journalism: Content, Journalistic Perceptions, and Audience Experiences حسب T.J. Thomson (9015119)

    منشور في 2025
    "…This isn’t necessarily the case, however, as both large and small news outlets are experimenting with AI in sometimes very public and audience-facing ways.…"
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    A novel RNN architecture to improve the precision of ship trajectory predictions حسب Martha Dais Ferreira (18704596)

    منشور في 2025
    "…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …"