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The Future of Mathematics in the Age of Artificial Intelligence

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  • UserProfessor Gitta Kutyniok
  • ClockFriday 04 February 2022, 18:00-19:00
  • Housevia Zoom online.

If you have a question about this talk, please contact Gesa D├╝nnweber.

Despite the outstanding success of deep neural networks in real-world applications, ranging from science to public life, most of the related research is empirically driven and a comprehensive mathematical foundation is still missing. At the same time, these methods have already shown their impressive potential in mathematical research areas such as imaging sciences, inverse problems, or numerical analysis of partial differential equations, sometimes by far outperforming classical mathematical approaches for particular problem classes. The goal of this lecture is to first provide an introduction into this new vibrant research area. We will then survey recent advances in two directions, namely the development of a mathematical foundation of deep learning and the introduction of novel deep learning-based approaches to solve mathematical problem settings.

This talk is part of the The Archimedeans series.

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