Save the date for the next Women in AI & Robotics community meetup co-organized by relAI!
On May 14th, our co-director Gitta Kutyniok will talk about “Reliable AI: From Mathematical Foundations to Neuromorphic Computing”. The second presentation of the event will be held by Elke Wolf, Professor from Hochschule München University of Applied Sciences, on “Professor at a University of Applied Sciences – an attractive option for empowered women”.
See you there! Admission is free, but signing up required.
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Are you interested in frontier AI systems, their astonishing capabilities and risks for humanity? Then join us for a thought-provoking deep dive and exclusive OpenAI Live Q&A on AI safety.
Date: Wednesday, May 8th, 2024 | 19:00 – 20:30
Location: Room B006, Department of Mathematics (Theresienstr. 39) or online
Language: English
Agenda:
19:00 – 19:05: Doors open
19:05 – 19:30: Introduction to AI Safety
19:30 – 20:15: Presentation & Live Q&A with OpenAI researcher Jan H. Kirchner, co-author of weak-to-strong generalization paper
20:15 – 20:30: Closing talk – What can we do?
20:30 – onward: Optional socializing and small group discussions with free drinks and snacks.
Please register on the following webpage and prepare your questions!
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Last week, our relAI students presented their research to the relAI industry partners in a series of industry workshops. Four events took place, each centered around one of the four relAI’s research areas: Mathematical & Algorithmic foundations, Algorithmic Decision-Making, Medicine & Healthcare and Robotics & Interacting Systems.
We are thrilled that this event was so well received both by the students and the industry partners! Following short lightning talks, intriguing discussions around reliability of AI took place in smaller breakout groups.
The industry workshops are part of relAI´s cross-sectional training and aim to facilitate the exchange of insights and expertise between academia and industry. The engagement from both our students and industry fellows emphasized the significance of bridging academic excellence with real-world applications, particularly when addressing the evolving challenges in AI reliability.
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We are excited to announce that our call for applications to the relAI MSc program is now open!
The novel, innovative relAI MSc program is an addition to a regular MSc program at Technical University of Munich (TUM) or Ludwig Maximilians University (LMU), offering comprehensive cross-sectional training in reliable AI, including scientific knowledge, professional development courses, and industrial exposure. Funded applicants receive a scholarship of up to 934€ and additional support such as travel grants for home travel.
relAI, funded by the German Academic Exchange Service (DAAD), is embedded in the unique transdisciplinary Munich AI ecosystem, combining the expertise of the two Universities of Excellence TUM and LMU of Munich.
We highly encourage you to apply if you:
hold an excellent Bachelor’s degree in computer science, mathematics, engineering, natural sciences or other data science/machine learning/AI related disciplines,
are accepted to a MSc program in said disciplines at either TUM or LMU starting in spring or fall 2024, or have applied there (Acceptance necessary before joining relAI)
have a genuine interest to study reliable AI covering aspects such as safety, security, privacy and responsibility in one relAI’s research areas Mathematical & Algorithmic foundations, Algorithmic Decision-Making, Medicine & Healthcare or Robotics & Interacting Systems, and
can certify proficiency in English on C1 or higher level.
We are thrilled to announce our new industry partnership with SAP!
The new collaboration will strengthen the school's expertise in Business AI, and will contribute to translate our AI research into the development of reliable AI systems. You can read below the views of SAP members on this exciting alliance between relAI and SAP.
We are thrilled to extend our collaborative efforts on research-driven product innovation with the Technical University of Munich and the Munich ecosystem through our new partnership with the Konrad-Zuse-School of Excellence in Reliable AI. This expansion not only consolidates our portfolio of AI-related applied research projects, but also fosters a more profound knowledge exchange and talent engagement on topics around the development of reliable AI systems and Business AI.
- Dr. Katharina Wollenberg and Dr. Rüdiger Eichin, Industry-University Collaboration, SAP
At SAP, we are committed to help our customers leverage AI to create tremendous business value. We specialize in Business AI: AI that is relevant since it’s embedded in enterprise business applications and processes from day one; that is reliable since we train, ground, and adapt AI on companies’ business data and context; and that is responsible by design, following SAP’s rigorous AI ethics, privacy, and security practices. We are delighted to join the Konrad Zuse School of Excellence in Reliable AI and look forward to collaborating with academica to drive the development and delivery of relevant, reliable, responsible Business AI.
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!
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, 2024here.
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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.
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
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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 theTUM 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.
