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of Technology). Eawag conducts research, education and expert consulting to achieve the dual goals of meeting direct human needs for water and maintaining the function and integrity of aquatic ecosystems
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models to predict what would happen in the future if a certain condition of interest is met. This project is based on Unsupervised Learning, that is, it uses datasets that do not have human labeling
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of Technology). Eawag conducts research, education and expert consulting to achieve the dual goals of meeting direct human needs for water and maintaining the function and integrity of aquatic ecosystems
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. Building on our momentum in generative AI research, our latest initiative explores the interplay between generative chatbots and human service agents, aiming to assess their impacts on customer satisfaction
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of Prof. Isabelle Marthot-Santaniello (Department of Ancient Civilizations) and of Prof. Ivan Dokmanić (Department of Mathematics and Computer Science ) with support from the Center for Data Analytics (CeDA