relAI in DataFest

For the 6th time already, LMU is organizing the DataFest Germany this year. From April 14th – 16th, teams of students will have the opportunity to work with a large set of real life data and analyze it to discover insights. At the same time, they will have the chance to meet with leaders and companies in the field of statistics. The best teams will be awarded prizes for best insight, best visualization and best use of outside data.

RelAI is proud to be supporting the organization of the event this year and will also be sending a team of students there to join this exciting competition and networking event.

We are pleased to announce the participation of our relAI fellows Prof. Sami Haddadin, Prof. Fabian Theis and Prof. Julia  Schnabel in the AI.BAY 2023 – Bavarian International Conference on AI.

At AI.BAY 2023, the Bavarian State Minister of Science, Markus Blume, the Minister for Digital Affairs, Judith Gerlach, and the Minister of Economic Affairs, Hubert Aiwanger invite participants to experience  the latest trends and the outstanding potential of AI at first hand. Together with leading representatives of the Bavarian AI Network and prestigious guests from abroad, the future of AI will be put into perspective and international developments will be presented. 

The conference will take place on February 23 and 24th, 2023, at the Deutsches Museum in Munich. Registration for online participation is still open!.  

Just in time for privacy day, the Transatlantic Privacy Perceptions Panel (TAPP), BERD@NFDI and relAI invite you to join the online discussion on perceptions, practices, and policies of digital privacy:

Quo Vadis, Digital Privacy? Perceptions, Practices, and Policies

Save the date: January 26, 2023, 5.00 pm – 6.45 pm CET !

Registration is free: link

For those interested in getting to know more about our initiatives and goals, the DAAD interview with our director Prof. Günnemann will be a helpful read. You will learn about how relAI was shaped and conceived. The interview emphasizes how relAI, as one of the three Zuse Schools in Germany, is helping to ensure that Germany based research and development in artificial intelligence (AI) becomes a globally recognized hallmark of quality.

Find more information on the interview here.

On November 18-20, relAI held its first retreat in Garmisch-Partenkirchen. The retreat opened with a warm welcome of the relAI directors Prof. Dr. Stephan Günnemann and Prof. Dr. Gitta Kutyniok to the first cohort of relAI PhD and master’s students. It was followed by scientific sessions with keynote presentations by the relAI fellows Prof. Dr. Frauke Kreuter (LMU), Prof. Dr. Pramod Bhatotia (TUM), Prof. Dr. Georg Kaissis (TUM), Prof. Dr. Eyke Hüllermeier (LMU) and  Prof. Dr. Michael Ingrisch (LMU) about their research activities across the four relAI focus areas, as well as research talks by the relAI PhD and master’s students. As a part of team building activities, the participants had the chance to discover the beautiful surrounding area of Garmisch-Partenkirchen.

This week we welcomed our first MSc & PhD student cohort of our Konrad Zuse School of Excellence in Reliable AI. We spent the 2. day at Allianz Arena with our MSc & PhD students, introducing the program, discussing research, and getting to know each other during a tour of the stadium.

This week we welcomed our first MSc & PhD student cohort of our Konrad Zuse School of Excellence in Reliable AI. We had a great first evening getting to know each other at Stiglerie with our relAI fellows and academic and industry partners.

Dr. Emmelie Korell (TUM), Dr.-Ing. Monika Michaelis (LMU) und Philipp Hanisch (TU Dresden)

On 21. and 22. September, 2022, members of the DAAD Konrad Zuse Schools relAI and SECAI joined the Forum Research in Germany 2022 (#ForumRiG22) in Berlin.

relAI Team at the kick-off event
relAI Team at the kick-off event

On 19. and 20. September, 2022, the speakers of the three DAAD Konrad Zuse Schools relAI, ELIZA and SECAI convened at the Deutsches Museum, Bonn, to celebrate the inauguration of the newly established schools.