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recovered in solid form by oxalic precipitation followed by calcination of the formed precipitates. One of the industrial challenges in designing the factory of the future is to optimize this precipitation
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training, as well as on machine learning or generative AI models. Technology watch on AI recommendation models and optimization of recommendation algorithms. Implementation of the recommendation engine
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 1 month ago
, and there is a need to extend support for GPU offloading. The applicant will be tasked with implementing and optimizing hybrid parallelism to improve performance, making full use of both CPUs and GPUs
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, economic, or social constraints. Heudiasyc's research is organized into three specialized teams: CID: Knowledge, Uncertainty, Data SCOP: Reliability, Communication, Optimization SyRI: Robotic Systems in
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. Personalized Federated Diffusion with Privacy Guarantees. 2025. [8] Fang et al. GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization ICCV 2023. [9] Bonawitz et al. Practical Secure
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Laboratoire National de Métrologie et d'Essais - LNE | Paris 15, le de France | France | about 2 months ago
reference data generation here is to state the optimality conditions for the considered mathematical formulation and then derive datasets that perfectly meet these conditions. To investigate and develop
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dry-lab scientists in experimental design and sample collection for optimal analyses. Presentation of the progress of the project to team members. Attendance to international conferences for data
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), drives technology transfer and innovation in embedded systems. The Embedded Artificial Intelligence Laboratory (LIAE) specializes in designing optimized AI solutions for embedded environments, with a focus
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the context of LOFAR 2.0 (Harish Vedantham et al., ASTRON, Netherlands), MeerKAT, and SKA (Oleg Smirnov et al., SARAO, South Africa). It is funded by LIRA, which also provides optimal support to its doctoral
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digital tools for the design and optimization of sustainable agroecological orchards, integrating environmental constraints and enabling the exploration of innovative strategies for varietal selection and