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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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suggest that clock glitches induce sampling faults on sensitive sequential elements, but the corresponding fault models remain to be formally validated. In parallel, CEA-List has developed µArchiFI [3-4
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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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, 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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position in Bioinformatics Ref. : 2026-40640 Fixed-term contract Essonne (91) EVRY Legal notices Cookies Configure your cookies Accessibility: partial compliance Sitemap Go to top
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biases- Saclay-H/F Subject Multimodal Large Language Models (LLMs) are increasingly capable of processing and integrating information from multiple modalities, including text, images, audio, and speech
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devices (fall detection). In a rapidly evolving context with strong industrial interest, the intern will implement and propose innovative methods for processing data from a radar sensor. They will rely on
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RISC-V processor. For near-sensor data processing, we use transformer-based artificial intelligence (AI) algorithms. These models significantly improve performance but require high computational power
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Image (LASTI) conducts foundational research projects in artificial intelligence applied to computer vision, automated processing, and multimodal data analysis. The global acceleration of AI research has
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data processing. However, conventional FHE schemes primarily address confidentiality: their intentional malleability does not, on its own, guarantee that an untrusted evaluator returns an authentic