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KCDS Virtual Open House 2025
KCDS Virtual Open House 2025
Martin Frank, Uwe Ehret, Angela Hühnerfuß
KCDS Virtual Open House 2025
KCDS Virtual Open House 2025
Angela Hühnerfuß
KCDS Virtual Open House 2023 - Fall
KCDS Virtual Open House 2023 - Fall
Uwe Ehret, Martin Frank
KCDS How to prepare your application
KCDS How to prepare your application
Angela Hühnerfuß
Project 03: Mathematical Foundations of Bayesian Neural Networks
Project 03: Mathematical Foundations of Bayesian Neural Networks
Charlotte Debus, Sebastian Krumscheid
Project 02: Advanced Parallelization Techniques for datadriven Uncertainty Quantification
Project 02: Advanced Parallelization Techniques for datadriven Uncertainty Quantification
Sebastian Krumscheid, Linus Seelinger
Project 04: Replacement of physical PSC simulation by machine learning in an Earth system model
Project 04: Replacement of physical PSC simulation by machine learning in an Earth system model
Ole Kirner, Jörg Meyer, Achim Streit
Project 01: Scholars in the loop? Bridging the gap between distinctive knowledge of small disciplines and training data for AI
Project 01: Scholars in the loop? Bridging the gap between distinctive knowledge of small disciplines and training data for AI
Germaine Götzelmann, Danah Tonne, Charlotte Debus
KCDS Talks
KCDS Talks
Angela Hühnerfuß
KCDS Virtual Open House - Project 03 Optimization and acceleration of aerosol dynamics and chemistry subprocesses in weather and climate models
KCDS Virtual Open House - Project 03 Optimization and acceleration of aerosol dynamics and chemistry subprocesses in weather and climate models
Ugur Cayoglu
KCDS Virtual Open House
KCDS Virtual Open House
Uwe Ehret, Martin Frank
KCDS Virtual Open House - Introduction and presentation of KCDS
KCDS Virtual Open House - Introduction and presentation of KCDS
Uwe Ehret
KCDS Virtual Open House - Project 04 Exploring the Potential of machine learning methods for improving operational hydrological forecasting and prediction (EPOforHydro)
KCDS Virtual Open House - Project 04 Exploring the Potential of machine learning methods for improving operational hydrological forecasting and prediction (EPOforHydro)
Uwe Ehret, Sebastian Krumscheid
KCDS Virtual Open House - How To Apply to KCDS
KCDS Virtual Open House - How To Apply to KCDS
Angela Hühnerfuß
KCDS Virtual Open House - Project 01 Logics for dynamical systems and practical theorem proving tools
KCDS Virtual Open House - Project 01 Logics for dynamical systems and practical theorem proving tools
André Platzer
KCDS Virtual Open House - Project 02 Deep Boltzmann - Structure-preserving deep neural networks to accelerate the solution of the Boltzmann equation
KCDS Virtual Open House - Project 02 Deep Boltzmann - Structure-preserving deep neural networks to accelerate the solution of the Boltzmann equation
Martin Frank
Gesichtserkennung : [KIT-Informatiker entwickeln ein Verfahren zur Identifizierung gesuchter Personen in Videoströmen]. Beitrag in der Landesschau Baden-Württemberg vom 09.08.2011
Gesichtserkennung : [KIT-Informatiker entwickeln ein Verfahren zur Identifizierung gesuchter Personen in Videoströmen]. Beitrag in der Landesschau Baden-Württemberg vom 09.08.2011
KIT auf Hannover-Messe : Beitrag in "Baden-Württemberg Aktuell" vom 16.04.2007
KIT auf Hannover-Messe : Beitrag in "Baden-Württemberg Aktuell" vom 16.04.2007
Thomas Eberding
Offizielle Inbetriebnahme des neuen Höchstleistungsrechners an der Universität Karlsruhe
Offizielle Inbetriebnahme des neuen Höchstleistungsrechners an der Universität Karlsruhe
Stefan Fuchs