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addressed to handle real-life HPC programs. How to parallelize the whole process? How to reduce the overall complexity? A trace-based solution could also be investigated. Validation. The approach will be
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physical model of the EEG headset on the one hand, and on a term learned on residuals by an AI model on the other. Prediction of fMRI activity using EEG signal : The main idea is to model EEG and fMRI
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process [ 10 ]. Principales activités Objectives The main goal of the PhD project is to elucidate the role of mesoscales network structures in generalizable artificial intelligence. Speci cally
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: variability in fabrication process parameters, latent defects or even environmental stress. One of the overlooked aspects is the role that HW faults can have in AI decisions. Indeed, there is a common belief
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Processing : Gather extensive contact trace data from urban bike test benches and satellite orbital datasets. Process and prepare the data for analysis, ensuring it is suitable for AI modeling. Development