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Higher Education: Theoretical and Empirical Models. This project is funded by FCT/MECI through national funds and when applicable co-funded EU funds under the 2023.18332.ICDT project reference. Scientific
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assembling the photonic processor, integrating it with ML models, and implementing the feedback loop necessary for the models' relearning capability. Scientific Area: Basic Sciences and Enabling Technologies
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of aggregation and representation models for neuromorphic event data. - Integration of the proposed codec into selected use cases, such as high-frame-rate video reconstruction or machine vision tasks
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