Artificial intelligence, mathematics and physics

Artificial intelligence and its incarnation as machine learning have matured to the level that researchers in fields such as Condensed Matter theory have during the past few years started to use the related tools in their ow research activities. First applications include the characterization of physical properties, such as identification of phases, as well as the determination of model parameters. In mathematics, there are questions about the framework behind machine learning and the characterization of the output of artificial intelligence. Further far-reaching consequences include ethical questions about the way how research is performed, and in particular ethical issues once human beings become a subject of such data-driven research themselves.

The purpose of this 2-day workshop is to bring together a broad panel of researchers from the CY Cergy Paris University with active interest in such questions, their international partners, notably from the University of Warwick and the MajuLab in Singapore, and a selection of both regional and international experts in the field in order to review the current status and to explore both scientific perspectives as well as potential future projects for collaboration.

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