relAI contribution to Bavarian AI Act Accelerator: helping companies implement the EU´s AI Act

Director

The European legal initiative to regulate AI (Artificial Intelligence Act) poses a particular challenge to small and medium-sized enterprises (SMEs) and start-ups that want to benefit from artificial intelligence and pursue innovations. Bavarian AI Act Accelerator, a new project funded by the Bayerisches Staatsministerium für Digitales and coordinated by the appliedAI Institute for Europe gGmbH, is designed to support companies in fulfilling the new requirements and, therefore, lower barriers to the use of artificial intelligence.

Principal contributors of the project include relAI directors Prof. Dr.  Gitta Kutyniok and Prof. Dr. Stephan Günnemann,  relAI fellow Prof. Dr. Mark Zöller, as well as scientists from the Technical University of Munich (TUM) and the University of Technology Nuremberg (UTN), who provide the necessarily high degree of interdisciplinarity.

relAI director Prof. Dr. Gitta Kutyniok leads the scientific part of the project. One of the main goals is to develop a system for automatic, and hence easy and fair, verification with the EU AI Act. This requires the following steps:
🔹Derive a profound legal understanding of the different terminologies.
🔹Develop a formalization/mathematization of the articles.
🔹 Build a system for automatic verification.

🛫 Our director, Gitta Kutyniok, gave a talk and joined the panel discussion at the Kick-Off event last week (photo) as the scientific lead of the project.   

Excerpts taken from:

After Stargate and DeepSeek, which technological developments will influence the future of the AI race? What implications does this hold for Germany and Europe? Have we constrained ourselves too soon with the AI Act? In an interview on the “Plattform Lernende Systeme” website, Prof. Dr. Gitta Kutyniok, Director of relAI and member of the Platform, discusses the current dynamics and explains how mathematics can enhance the comprehensibility of AI results.

Watch the interview here.

The Saxon-Bavarian AI project GAIn – Next Generation AI Computing is a pilot project tackling new AI hardware and software concepts to reduce energy consumption and increase reliability for different applications such as surgical robotics. It builds on the foundation of the Cluster of Excellence CeTI, the 6G-life research hub, and the Konrad Zuse Schools of Excellence SECAI and relAI. The project aims to address key challenges in energy consumption, predictability, reliability, and legal implementation. A core objective is to significantly reduce the energy consumption of AI-based applications while enhancing their predictability and reliability for different applications such as surgical robotics.

The project has now been officially launched. Together with Frank Fitzek (TU Dresden), Gitta Kutyniok (LMU, relAI) and Holger Boche (TUM), Stefanie Speidel (TU Dresden, SECAI) hosted the kick-off meeting of the project.  The cooperation across federal states will strengthen Germany's technological sovereignty and contribute to the international leadership role of Saxony and Bavaria in central computing technologies.

Excerpts from the TUD press release AI project "GAIn" with TUD participation aims to propel Saxony and Bavaria to an international leadership role in computing technologies, of the National Center of Tumor Disease Dresden (NCT)  GAIn (2024 – 2027)  and of SECAI news https://secai.org/content/news/56

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.

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”

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 December 1st, relAI director Prof. Stephan Günnemann was awarded the Heinz Maier-Leibnitz Medal. TUM presents its highest scientific award to individuals who, through their exceptional achievements in science, technology or medicine, have rendered a great service to the university in their capacity as outstanding lecturers and researchers.
The relAI team congratulates Prof. Günnemann on this recognition of his work and is proud to be headed by this distinguished scientist.