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models. State-of-the-art optimization techniques require careful tuning of several hyperparameters, such as learning rate (schedule), momentum, and weight decay. One aspect of this research project is to
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this document is tailored for a 36 month doctoral research program. Year 1. The main objective of year 1 is to explore the state of the art related to this topic, both in terms of academic literature, practical
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that AI applications have an intrinsic high-level or resilience w.r.t. errors and noise. However, recent studies in the scientific literature have shown that AI-HW is not always immune to HW errors
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and privacy in the digital world, but also in digital health and computational biology. Contexte et atouts du poste Convolutional neural networks (CNNs) are currently the state-of-the-art models