News and Resources

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24NOV 2025
News and Resources
A workshop in Speinshart: Scientific center for AI and SuperTech
Event: A workshop in Speinshart: Scientific center for AI and SuperTech Date: Tue.-Sun. November 11 – 16, 2025 Event type: On-site From November 11 – 16, 2025, Kloster Speinshart hosted a workshop bringing together researchers, students, and industry professionals to explore the intersections of mathematics, control theory, machine learning, and industrial innovation. The serene monastery […]Event: A workshop in Speinshart: Scientific center for AI and SuperTech Date: Tue.-Sun. November 11 – 16, 2025 Event type: On-site From November 11 – 16, 2025, Kloster Speinshart hosted a workshop bringing together researchers, students, and industry professionals to explore the intersections of mathematics, control theory, machine learning, and industrial innovation. The serene monastery […]
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24NOV 2025
FAU MoD Workshop
Workshop: The Mathematics of Scientific Machine Learning and Digital Twins
On November 19-25, 2025, our FAU MoD, Research Center for Mathematics of Data at FAU and the Digital Twin Lab under the CMAI, Center for Mathematics and Artificial Intelligence at GMU are organizing the “The Mathematics of Scientific Machine Learning and Digital Twins” workshop in Erice, Italy. The workshop is an opportunity to gather experts […]
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17NOV 2025
FAUMoD Lecture Series
FAU MoD Lecture: Quantum firmware: optimal control for quantum processors
Date: Mon. November 17, 2025 Event: FAU MoD Lecture Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) FAU MoD Lecture: Quantum firmware: optimal control for quantum processors Speaker: Prof. Dr. Tommaso Calarco Affiliation: University of Cologne | University of Bologna Abstract. Quantum optimal control is well known to […]Date: Mon. November 17, 2025 Event: FAU MoD Lecture Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) FAU MoD Lecture: Quantum firmware: optimal control for quantum processors Speaker: Prof. Dr. Tommaso Calarco Affiliation: University of Cologne | University of Bologna Abstract. Quantum optimal control is well known to […]
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13NOV 2025
All
Academic freedom and ethics in Germany and China
On Friday November 14, 2025 the Chair for Sinology with a focus on the Intellectual and Cultural History of China (Alexander von Humboldt Professorship) led by our FAU MoD member Prof. Dr. Dr. Andrea Bréard at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg is hosting: Wissenschaftsfreiheit und -ethik in Deutschland und China Event: Academic freedom and ethics in Germany […]
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10NOV 2025
FAUMoD Lecture Series
FAU MoD Lecture: AI Components in PDE Solvers
Date: Mon. November 10, 2025 Event: FAU MoD Lecture Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) FAU MoD Lecture: AI Components in PDE Solvers Speaker: Prof. Dr. Nils Thürey Affiliation: TUM, Technical University of Munich Abstract. In this lecture, I will talk about recent advancements from the […]
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27OCT 2025
FAUMoD Lecture Series
FAU MoD Lecture: Finding the optimal model complexity of whole-brain models and digital twins
Date: Mon. October 27, 2025 Event: FAU MoD Lecture Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) FAU MoD Lecture: Finding the optimal model complexity of whole-brain models and digital twins Speaker: Prof. Dr. Xenia Kobeleva Affiliation: Department of Neurostimulation, Ruhr-Universität Bochum (Germany) Abstract. Whole-brain neural mass models […]Date: Mon. October 27, 2025 Event: FAU MoD Lecture Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) FAU MoD Lecture: Finding the optimal model complexity of whole-brain models and digital twins Speaker: Prof. Dr. Xenia Kobeleva Affiliation: Department of Neurostimulation, Ruhr-Universität Bochum (Germany) Abstract. Whole-brain neural mass models […]
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