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The APHELEIA project seeks to develop a new generation of machine learning models that are robust, interpretable, and efficient, minimizing the need for large datasets. By integrating classical signal processing and modern deep learning, the project aims to enhance predictive modeling across various applications.
Despite the undeniable success of machine learning in addressing a wide variety of technological and scientific challenges, the current trend of training predictive models with an evergrowing number of parameters from an evergrowing amount of data is not sustainable.
These huge models, often engineered by large corporations benefiting from huge computational resources, typically require learning a billion or more of parameters.
They have proven to be very effective in solving prediction tasks in…
INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
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