The goal of this workshop is to provide hands-on experience in machine learning concepts and applications in physics. The iWeek is directed at Master and PhD students, as well as postdocs. Our guest lecturer Prof. Florian Marquardt (Max Planck Institute, Erlangen) will introduce the foundations and basic concepts of machine learning and artificial intelligence from a physicist’s perspective. Participants will learn to develop and optimize neural networks, for example to perform image recognition. This will allow you to use machine learning algorithms to boost your experimental and theoretical methods, or it will make you fit for workflows frequently used in modern data science and industry. In additional scientific talks, concrete examples of how machine learning can be applied in fundamental physics research, e.g., to optimize quantum gas experiments, will be presented.
The event will take place from 28 August – 1 September 2023 in Bonn.
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Topics:
- Neural networks, gradient descent, backpropagation, autoencoders, ...
- Hands-on programming of machine learning algorithms on your computer
- Applications of machine learning in quantum physics research
Speakers:
Lectures: Florian Marquardt (Erlangen), Ameneh Sheikhan (Bonn)
Scientific talks: Maximilian Prüfer (Wien), Andreas Kell (Bonn)
