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intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP
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the understanding and modeling of the hydrological cycle. Our work employs a multi-platform approach, combining measurements from ground-based sensors and satellite constellations (e.g., optical, radar, and
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transmitting vast amounts of data, this global infrastructure holds an extraordinary potential: it can also serve as a real-time sensor for earthquakes. In this project, we explore that potential by developing
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, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors
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-series modeling (EEG, video, sensor data) and chemical/structural data representation (e.g. graphs, SMILES strings, molecular embeddings). Familiarity with multimodal representation learning and