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on signals and complex systems. Gipsa-lab develops projects in the strategic fields of energy, the environment, communication, intelligent systems, life and health technologies, and language engineering
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, machine learning, explainable artificial intelligence (XAI), digital twins, and integrated data-model approaches. • Study of the frugality of the developed approaches by reducing the requirements
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artificial intelligence to identify molecular signatures of resilience and decipher the underlying mechanisms of Mediterranean ecosystem recovery after wildfires. - **Activity 1:** Field campaigns will be
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Generation for Individuals with Cognitive Impairment. In the 34th International Joint Conference on Artificial Intelligence (ECAI 2025). * Ledoyen F., Dias G., Pantin J., Maurel F., Lechervy A., Chahir Y
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São Paulo, Brazil. The PhD candidate will join LAMIH UMR CNRS 8201, a research laboratory with strong expertise in automatic control, intelligent transportation systems, autonomous and electrified
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, nanomedicine, advanced characterization techniques, synchrotron science, automation, and artificial intelligence for materials discovery. The project will establish quantitative process-structure-property
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of technological disruption driven by Artificial Intelligence, we propose to analyze the data and quantify these similarities by exploring various applications of machine learning methods. With the advancement of AI
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combine laboratory experiments, numerical simulations, artificial intelligence and field observations to address outstanding questions in physical oceanography, atmospheric sciences, physical limnology