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“Novel Production Methods” of the Norwegian Center for Hydrogen Research (HyValue), and some of the materials testing will be performed in collaboration with work tasks at some of the other participating
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) that employ artificial intelligence (AI). Central AI techniques for us are deep learning, image analysis, knowledge graphs, machine learning, and natural-language understanding. We investigate
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, knowledge graphs, machine learning, and natural-language understanding. We investigate application areas such as digital multimedia forensics, decision making in health IS, personal data analysis, and
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of meteorology and climate dynamics to distill information from reanalysis products and ensemble forecasts, picking out the circulation conditions and features that tend to precede extreme events. With
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history will be prioritized. We invite applications that investigate topics including, but not limited to, cultural production and exchange, new technologies and the circulation of cultural and material
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models. Current approaches for precursor identification rely on expert knowledge of meteorology and climate dynamics to distill information from reanalysis products and ensemble forecasts, picking out
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yet well understood. Together with possibilities of creativity, productivity, and new multimodal tools to support knowledge creation, fundamental questions of epistemic risks and illusions
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to their adoption in research, a phenomenon that is not yet well understood. Together with possibilities of creativity, productivity, and new multimodal tools to support knowledge creation, fundamental questions