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Modellansatz - English episodes only

Gudrun Thäter, Sebastian Ritterbusch
Bayesian Statistics
Deep Learning
Machine Learning
Autonomous Driving
Healthcare
Artificial Intelligence

On closer inspection, we find science and especially mathematics throughout our everyday lives, from the tap to automatic speed regulation on motorways, in medical technology or on our mobile phone. What the researchers, graduates and academic teachers in Karlsruhe puzzle about, you experience firsthand in our podcast "The modeling approach".

PublishesMonthlyEpisodes44Founded10 years ago
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Natural SciencesMathematicsScience

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In this episode Gudrun speaks with Nadja Klein and Moussa Kassem Sbeyti who work at the Scientific Computing Center (SCC) at KIT in Karlsruhe.

Since August 2024, Nadja has been professor at KIT leading the research group Methods for Big Data (MBD) ... more

Gudrun talks with Polyxeni Spilioti at Aarhus university about spectral geometry.

Before working in Aarhus Polyxeni was a postdoctoral researcher in the group of Anton Deitmar at the University of Tübingen. She received her PhD from the University... more

One of the reasons we started this podcast in 2013 was to provide a more realistic picture of mathematics and of the way mathematicians work. On Nov. 19 2021 Gudrun talked to Stephanie Anne Salomone who is Professor and Chair in Mathematics at the Un... more

In March 2018 Gudrun had a day available in London when travelling back from the FENICS workshop in Oxford. She contacted a few people working in mathematics at the University College London (ULC) and asked for their time in order to talk about their... more

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Moussa Kassem Sbeyti
Postdoctoral researcher and AI research scientist at the Continental AI Lab.
Karlsruhe Institute of Technology
Episode: Bayesian Learning
Nadja Klein
Professor at the Karlsruhe Institute of Technology leading the Methods for Big Data group.
Karlsruhe Institute of Technology
Episode: Bayesian Learning

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Modellansatz launched 10 years ago and published 44 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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