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Field
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capture the complexity and heterogeneity of archaeological data. This underscores the need for approaches that explicitly capture uncertainty, adapt dynamically to new information, and sequentially optimise
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performance through validation and comparison with available measurements, assess uncertainty and limitations, and support data assimilation, initialization, forcing, downscaling, or model-selection activities
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that explicitly capture uncertainty, adapt dynamically to new information, and sequentially optimise survey strategies in a transparent and robust manner. ARCHAI, a new fully funded interdisciplinary research
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gliomas. The project integrates generative AI, interpretable models, uncertainty estimation, and federated learning to improve clinical decision-making, data privacy, and personalized medicine
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experimental workflows A sound understanding of demagnetisation procedures, magnetic-property measurements, data processing, uncertainty, quality assessment and interpretation Experience with quantitative data
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uncertainty-aware machine learning approaches, to assess whether prediction accuracy can be improved by focussing on particular subsets of patients. We will also investigate different ways to define
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data-generation and training workflows, including sampling, active learning, transfer learning, validation, and uncertainty or robustness analysis, to reduce the cost of generating excited-state training
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latency, packet loss, and other uncertainties. The central research objective is to develop a passivity-based, controller-agnostic safety layer that enables human and AI-generated control commands to be
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 13 days ago
uncertainty in projected ice loss. Science 387,601-609(2025).DOI:10.1126/science.adt9619 Field of Science: Earth Science Advisors: Ian Fenty [email protected] (508) 498-4879 Applications with citizens from
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collaboration with Prof Yulan He (KCL computer science) and her NLP group. The post is central to the NAVIGATE research programme, which investigates how different modes of AI uncertainty expression affect the