Are you interested in learning more about the Water Research Activities at the UDE & how the faculty of engineering can contribute to it? Let's find out what the ZWU, the faculty of engineering and colleagues from the UA Ruhr have to offer!
Join us for an exciting event to network and exchange ideas on the subject of water research! Our meeting will commence at noon with a snack and ample opportunity to get to know each other.
Don't miss out on the chance to register until November 28th! The participation is free of charge. We will have refreshments available.
Quantum technology is a promising future technology where unique
quantum characteristics are taken advantage of to develop faster
computation, securer communication, and high-precision sensing than
their classical (non-quantum) counterparts. Quantum estimation
(tomography) is a fundamental task for developing powerful quantum
technology. In this talk, we will first present several results on optimization
and error analysis in quantum estimation and identification. Then we will
introduce a couple of examples on capability and performance analysis of
quantum sensors. Lastly, we will introduce learning control for quantum
autoencoders which are an important tool for quantum data compression.
We will start this event with a keynote talk by Prof. Dr. Christoph Donner (Berliner Wasserbetriebe) followed by impulse presentations from UDE experts and small group discussions that will offer participants multiple chances to share ideas, perspectives, and initiate collaborations.
Details on this event and registration at the follwoing website:
In this talk we introduce Neural Networks from a mathematical perspective and discuss challenges, especially over- and underfitting as well as hyperparameter choice. Subsequently, several network architectures and their applications are presented. Here, we focus on architectures suited for solving differential equations and the various options to model the problem, in particular which data is required for training of the network. Finally, we explore recent research in adaptive pruning algorithms based on a specialized regularization technique and further research directions with potential application in engineering problems.
Interessenten sind herzlich eingeladen, es wird jedoch um kurze Anmeldung bei Herrn Reichel gebeten (maximilian.reichel@uni-due.de).
