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The SOLARIS project aims to develop advanced machine learning models that can efficiently analyze large-scale data. By integrating kernel methods with deep learning, it seeks to create scalable, adaptable tools for various scientific applications, enhancing the design and training of deep networks.
Machine learning has become a key part of scientific fields that produce a massive amount of data and that are in dire need of scalable tools to automatically make sense of it.
Unfortunately, classical statistical modeling has often become impractical due to recent shifts in the amount of data to process, and in the high complexity and large size of models that are able to take advantage of massive data.
The promise of SOLARIS is to invent a new generation of machine learning models that fulfill…
INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
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