Embedded Talk “Deep Learning on Narrow Resources”
On Friday, October 10, 2025, the 19th Embedded Talk of the FAU Research Center ESI on the topic of “Deep Learning on Narrow Resources” took place at Friedrich-Alexander University Erlangen-Nuremberg. The event, which was attended by around 60 participants, provided a platform for experts and researchers from the industry to discuss current developments and challenges in the field of machine learning methods for systems with limited resources. The event began with a welcome address by Prof. Dr. Jürgen Teich, spokesperson for FAU ESI, and included a keynote speech by Prof. Dr. Jian-Jia Chen (TU Dortmund University/Lamarr Institute for Machine Learning and Artificial Intelligence) as well as presentations and a panel discussion with Jan Seyler (Festo SE & Co. KG) and Mark Deutel (Chair of HSCD and Fraunhofer IIS).
You will find further information about the event and more pictures at FAU ESI’s Web page.
Dr.-Ing. Torsten Klie
Department of Computer Science
Chair of Computer Science 12 (Hardware-Software-Co-Design)
- Phone number: +49 9131 85-25151
- Email: torsten.klie@fau.de