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; PyTorch; parallel and GPU computing Applicant Profile The internship is intended for a final-year Master’s student or engineering student specialising in applied mathematics, signal processing or
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and sufficient. Assigning meaning to prototypes is however a time-consuming task, as the various models tend to learn prototypes that do not carry sufficiently high-level meaning. A parallel line of
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the CEA. Dedicated to intelligent digital systems, its mission is to carry out technological developments of excellence on behalf of industrial partners, in order to create value. Within the LIST, the
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in Saclay (Essonne), the LIST is one of the two institutes of CEA Tech, the Technological Research Division of the CEA. Dedicated to intelligent digital systems, its mission is to carry out
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, parallel research axes: pushing model accuracy on systems of several thousand atoms with an IWAE architecture; equipping it with the ability to quantify its own uncertainty — a prerequisite for any use
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International Conference on Intelligent Robots and Systems, 2026. [2] J. Mérand, B. Meden, L. Chen, and M. Grossard, “CoToGrasp: Contact-topology-conditioned dexterous grasp synthesis via canonical
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programming and applied mathematics, and interested in neural networks and their hardware implementation. Some experience in machine learning would be an asset. Prior knowledge of emerging memory
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could be the subject of a scientific publication. Applicant Profile Programming languages: Python, C/C++ Knowledge of artificial intelligence and the PyTorch framework Experience in using sensors
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with strong adaptability and communication skills. You are curious and you appreciate team work. You have a keen interest in both generative AI models applied to next-generation computing systems and
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outils Nvidia (nsight-compute, nsight-systems) ainsi que l’approche roofline. Mise en place d’un démonstrateur de SLOTH sur GPU, avec une attention particulière portée aux structures de données, et