News

11.06.2022


We are happy to announce that we are back with a real-life freiburg.ai event! Betty van Aken will visit Freiburg and speak to us about clinical NLP on the 17th of June. We are very happy to see some familiar faces again and to welcome new AI enthusiasts.

Registration: Please note that we have a limited capacity of 20 participants for this event. A (free) registration on our Meetup page is required for attending the event.
When: Friday, 17. June 2022 from 19:00
Where: Averbis GmbH, Salzstraße 15, 79098 Freiburg im Breisgau
Speaker: Betty van Aken, Berliner Hochschule für Technik (BHT)
Talk: ProtoPatient: Interpretable Diagnosis Prediction with Prototypical Networks
Afterwards: Beer & bretzel at Averbis roof terrace

Meetup event

Agenda

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.

Events

  • Betty van Aken
    Upcoming event: Friday, 17. June 2022 from 19:00 (registration required, see "News" section above)
    Betty van Aken, Berliner Hochschule für Technik (BHT)
    ProtoPatient: Interpretable Diagnosis Prediction with Prototypical Networks
    Meetup event

    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.

  • NeurIPS Logo
    Previous event series:
    Tuesday, 7. Dec to Friday, 10. Dec 2021
    Official NeurIPS Conference Meetup:
    Keynotes and Tutorials
    Q&A and Meet & Greet sessions.
  • Timo Denk
    Previous talk
    Timo Denk, Zalando
    A Brief Overview of the Success Story of Large Language Models
    Meetup event Timo Denk
  • Lena Maier Hein
    Previous talk
    Lena Maier-Hein, DKFZ Heidelberg:
    Why Domain Knowledge is Crucial for ML-based Medical Image Analysis
    Meetup event CV
  • NeurIPS Logo
    Event series: 7. Dec to 11. Dec
    Official NeurIPS Conference Meetup:
    Keynotes, Tutorial, Workshop invited Talks.
    Q&A with Experts and Meet & Greet sessions.
  • Tobias Schubert
    Previous talk
    Tobias Schubert, Sick AG:
    Applied Deep Learning: The Application of University Research in the Field of Deep Learning to Industrial Automations
    Meetup event

    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.

  • Christoph Zimmer
    Previous talk
    Christoph Zimmer, Bosch Center for AI:
    Safe Active Learning for Time-Series Modeling with Gaussian Processes
    Meetup event

    Cristoph Zimmer is a research scientist at the Bosch Center for Artificial Intelligence. 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.

  • Prof. Frank Hutter
    Previous talk
    Frank Hutter, University of Freiburg:
    Towards Automated Deep Learning
    Slides (pdf, 2.7MB)
    Meetup event

    Frank Hutter is a Professor for Machine Learning at the University of Freiburg. His main research interests span machine learning, artificial intelligence, combinatorial optimization, and automated algorithm design.

    Links for more information:
    - Homepage Frank Hutter
    - View event on meetup.com
  • Freiburg AI logo
    Freiburg AI was founded in fall 2019.

Freiburg.ai is organized in cooperation with

Lexoffice is a certified smart accounting software for cooperations, small companies and freelancers. It offers a wide range of features such as automatic invoice processing, simplification of the billing process, customer management, and much more. Lexoffice is developed by Haufe Lexware in Freiburg.

The Foundersclub Freiburg e.V. supports entrepeneurs that want to start their own startup or those who are still searching for ideas and partners. They organize regular events not only in the startup field, but also in topics regarding computer science, environment and more. In addition, they have a job listing on their homepage where startups can advertise open positions.

BrainLinks-BrainTools was established in 2012 as a cluster of excellence within the excellence inititative by the DFG and is funded as a Center since 2019 from the Federal Ministry of Economics, Science and Arts of Baden-Württemberg. BrainLinks-BrainTools aims to develop medical technology that directly interacts with the nervous system. Currently, there are constructions for the new Intelligent Machine-Brain Interfacing Technology (IMBIT) building at the Technical Faculty in Freiburg.

Freiburg.ai is brought to you by


Jörg Franke
Jörg Franke

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.

David Hübner
David Hübner

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.

Torster Koller
Torsten Koller

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. Torsten is currently working at a technical consultant for Averbis.

Contact Us

Please feel invited to send us suggestions for new keynote speakers, or if you have feedback or other inquiries.