In the ARD (Arbeitsgemeinschaft der öffentlich-rechtlichen Rundfunkanstalten der Bundesrepublik Deutschland) AI podcast, relAI PhD student Sarah Ball shares her view on AI safety and reliability of large language models. Please check it out!
Links (podcast is in German):
https://www.ardaudiothek.de/sendung/der-ki-podcast/94632864/
We are delighted to welcome five exceptional fellows to relAI: Alin Albu-Schäffer, Angela Schoellig, Björn W. Schuller, Christian Wachinger, and Stephan Bauer.
Each of them brings their own expertise and insights that will further enrich our research agenda and scientific community. From diverse backgrounds in Medicine, Robotics and Data Science, they are dedicated to making significant contributions to the advancement of reliable AI.
Alin Albu-Schäffer is director of the Institute of robotics and Mechatronics at the DLR – German Aerospace Center and professor at TUM. Methods of safe AI are attributed special importance in robotics, where artificial intelligence interacts with the physical world through complex machines. His research offers both interesting application fields and new questions for reliable AI.
Angela Schoellig recently moved to Munich from Toronto upon being awarded an AI Humbold professorship, an award which aims to attract top international scientists to German universities. Further, she is a member of the board of directors at MIRMI. Her Chair of Safety, Performance and Reliability for Learning Systems at TUM perfectly aligns with the research topics of relAI.
Björn W. Schuller, professor for health informatics at TUM and Klinikum rechts der Isar, works on responsible methods for medicine and healthcare. He has a background in speech recognition and works as the CSO of the Audio Intelligence company audEERING.
Christian Wachinger is professor for AI in radiology at Klinikum rechts der Isar. A common motif of his research is “Bias and Fairness”, but his research also concerns causal inference and application of AI methods to medicine and healthcare.
The final addition to relAI is Stephan Bauer, who is senior group leader at Helmholtz and associated professor for Algorithmic Machine Learning & Explainable AI at TUM. His research focuses on causality and deep learning. He also has background in robotics and healthcare as domain application areas of AI.
Join us in welcoming these five to the relAI community!
Please take a look at the excellent interview with the director of relA Prof. Günnemann at TUM. The interview, titled “The reliability of AI will play a decisive role in Germany”, emphasizes the transformative focus that our school's main topic plays in technology.
We are thrilled to congratulate relAI fellow Prof. Sami Haddadin for his elevation to IEEE fellow. This is the highest membership degree of IEEE, the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
This prestigious distinction was awarded to the director of the TUM Munich Institute of Robotics and Machine Intelligence (MIRMI) “for his contributions to robot safety, tactile robots, and interaction control”.
Our Congratulations!
Congratulations to relAI fellows Prof. Sandra Hirche and Prof. Claudia Eckert on receiving the prestigious 2023 Heinz Maier-Leibnitz Medals from TUM.
We are excited that the TUM honors the exceptional achievements of Prof. Dr. Claudia Eckert and Prof. Dr.-Ing. Sandra Hirche with the 2023 Heinz Maier-Leibnitz Medals. This annual award of the TUM was presented to the relAI fellows at the recent Dies Academicus in December 2023.
In the Laudati, Senior Vice President Prof. Gerhard Kramer acknowledged the outstanding contributions of Prof. Dr. Claudia Eckert "at her chair at TUM and as head of the Fraunhofer Institute for Applied and Integrated Security AISEC with the protection of IT systems against hacker attacks." Prof. Dr.-Ing. Sandra Hirche was recognized for her "groundbreaking work" in control engineering and systems theory.
A big congratulations to them both! These well-deserved awards are a testament to their dedication and impact in their respective fields, particularly to reliable AI.
Please find more information about this prestigious price from TUM: https://www.tum.de/en/about-tum/facts-and-figures/awards-and-honors/awards-presented-by-the-technical-university-of-munich/heinz-maier-leibnitz-medal
Congratulations to our relAI director Gitta Kutyniok!
The world's largest technical professional organization dedicated to advancing technology for the benefit of humanity IEEE has selected Gitta Kutyniok for the elevation to IEEE Fellow, the highest grade of membership in IEEE. Less than 0.1% of voting members are selected for this member grade elevation each year.
The IEEE Fellow Committee recognized her achievements with the following statement: “for contributions to the mathematical theory of artificial intelligence in signal processing and communication”
We are excited to announce that our second call for applications to the fully funded PhD program of our Konrad Zuse School of Excellence in Reliable AI (relAI) is now open.
Spread the word and submit your application by January 15th, 2024 here.
On the 11th and 12th of October, relAI welcomed the new cohort of relAI Master and Doctoral students. The event included informative sessions about relAI and networking activities. At the Munich Data Science Institute (MDSI), TUM, the relAI directors and coordinators presented the relAI program to the new students. The first relAI cohort of students organised a lively interactive session (photo) to welcome and get to know the new students.
Congratulations to the relAI PhD Student Lisa Wimmer, the relAI fellow Bernd Bischl, and the relAI director Stephan Günnemann on the best paper award of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2023).
ECML PKDD is Europe’s top machine learning and data mining conference, with over 20 years of successful events and conferences across the continent. The ECML PKDD 2023 was held in Turin, Italy from the 18th to the 22nd of September 2023.
List of authors and title of the awarded paper:Jonas Gregor Wiese, Lisa Wimmer, Theodore Papamarkou, Bernd Bischl, Stephan Günnemann, David Rügamer
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry
On 14 September, the Munich Data Science Institute (MDSI, TUM) celebrated its official opening at the Science Congress Center in Garching. The event included inaugural words by the Bavarian State Minister for Science and the Arts, M. Blume, and the TUM President, Prof. Dr. T. Hofmann. Top-class scientific lectures from MDSI Members, presentations of outstanding MDSI projects, a panel discussion, and a poster session rounded the program.
The Konrad Zuse School of Excellence in Reliable AI (relAI), a joint project between TUM and LMU funded by DAAD, which had been initiated through an MDSI Focus Topic, was one of the projects highlighted at the opening. relAI Coordinator Dr. Andrea Schafferhans introduced relAI to the audience, giving an excellent overview of its educational and research programs as well as its people. relAI was also widely represented at the poster session by relAI Master students and PhD researchers from the TUM University, who discussed their research projects with the numerous guests of the event, among them, MDSI partners and representatives from industry and other research institutions.