Freiburg.ai is a non-profit meeting point for people that are interested in the field of Artificial Intelligence. Our goal is to provide opportunities for exchanging knowledge, networking and connecting with industrial partners in the Freiburg area.
Our main activity is the organization of meetups. Each meetup is started by a keynote lecture before diving into an open discussion. The events are managed over our meetup page. Please register (for free) and follow the group to receive information about the latest events. AI enthusiasts with all backgrounds and knowledge levels are welcome to participate.
On this page, you will find material (abstracts/slides) of previous events. Please feel free to contact us, if you have a suggestion for a keynote speaker or any feedback.
Andreas is a Ph.D. student at LMU Munich and works as a research scientist for Stability AI in Freiburg. His research focuses on efficient and controllable generative modeling of images and videos, such as his recent work on latent diffusion aka Stable Diffusion.
Betty works as an NLP researcher and PhD student at Berliner Hochschule für Technik (BHT). Her current research focusses on transfer learning for clinical NLP with the goal to develop explainable models for clinical decision support.
Tobias Schubert received both his diploma and his PhD in mathematics at the University of Regensburg. After that, he was a postdoc at Wolfram Burgard’s autonomous intelligent system lab at the University of Freiburg for almost five years where he worked in the fields of machine learning, robotics and neuroscience. In 2018, he switched from academia to industry and became a development engineer as part of the Deep Learning Initiative of SICK AG.
Cristoph Zimmer is a research scientist at the Bosch Center for Artificial
His research interests include calibration, parameter identifiability, safe
active learning, and stochastic processes.
Before working at Bosch, he obtained his PhD from the Heidelberg university in interdisciplinary mathematics and he collaborated with systems biologists and epidemiologists during his postdocs at the center for modeling and simulations in the biosciences in Heidelberg and Yale School of Public Health.
Jörg is currently pursuing his PhD in the machine learning lab of Frank Hutter. He is working on reinforcement learning, neural architecture search and transfer learning with a special interest in microbiology.
During his PhD, David worked on new unsupervised machine learning and medical applications in the field of brain-computer interfaces. After completion, he joined Averbis where he works on natural language processing for medical documents.
Torsten has previosuly worked on the intersection of machine learning and control theory with a focus on safe reinforcement learning. He also worked in his own startup and as a technical consultant for Averbis.