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The Probabilistic Symbolic Simulation For multi-core embedded Artificial Intelligence (pSSim4AI) project aims at proposing a methodology to enable accurate and fast performance and energy prediction for neural networks applications deployed on multi-core embedded platforms.
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Loig JEZEQUEL / projet-puissance4
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Automatic Information Extraction System for MACro-organisms technology to detect and identify macro-organisms in single images obtained from citizen smartphones or EMUAS, after processing by ATIRES, to support the AMOVALIH classification service by
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