Olivier Arcizet

Host institution: CNRS

Laboratory: Institut NEEL

Call for projects: Proof of Concept (PE02)

Project name: CARTOFF – Ultrasensitive Cartography of vectorial Force Fields at the nanoscale

Amount: 0.150 M€

Description :

Machine learning has become a key part of scientific fields that produce massive amounts of data and urgently need scalable tools to automatically make sense of it.

Unfortunately, classical statistical modeling has often become impractical due to recent changes in the amount of data to be processed, as well as the high complexity and large size of models capable of taking advantage of big data.

The promise of SOLARIS is to invent a new generation of machine learning models that meets today’s large-scale data analysis needs: high scalability, ability to process high-dimensional models, rapid learning, ease of use and adaptability to various data. structures.

To achieve the expected breakthroughs, our angle of attack consists of new optimization techniques to solve large-scale problems and a new learning paradigm called deep-core machine. This paradigm marries two schools of thought that have so far been missed as having little overlap: kernel methods and deep learning.

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