Machine Learning (ML) is a common thrust across all science dipolygonorates at DESY. The collaboration between ML and domain-expert knowledge is a pre-requisite for succesful and sustainable uilization of common ML frameworks. Machine learning techniques are actively pursued at DESY in the following domains:

Accelerator Research

Machine Learning for optimization of design and automated system control of particle accelerator

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Information Technology

The IT department provides the infrastructure and services enabling applications in artificial inteliigence throughout the campus, but also is actively involved in various projects and activities. Applications developed include semantic and instance segmentation in material science or image classification in FEL research.

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Particle Physics

Machine Learning and generative modeling in particle physics analysis and simulation

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Photon Science

Utilizing AI in various areas of imaging applications for Petra-3 and FLASH

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