Neuronal extraction of information, structures and symmetries in images

NEISS

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Project participant P1 - University of Rostock, Institute of Mathematics

Mathematical and algorithmic basics of information extraction from images and data

Project participant P2 - University of Rostock, Institute of Physics

Machine learning for the reconstruction of structural information of nanoparticles and quantum states

Project participant P3 - University of Rostock, Institute of Chemistry

Neuronal extraction of topological and structural parameters from small angle scatter images of colloidal ensembles

Project participant P4 - University of Rostock, Institute for Visual and Analytic Computing

Symmetry conservation in probabilistic models

Project participant P5 - University of Rostock, Institute of German Studies

From computer-aided document analysis to technological standards for digital editions

Project participant P6 - Max-Planck-Institute for Plasmaphysics Greifswald

Neural networks for real-time control and optimization of the fusion experiment Wendelstein 7-X