We were thrilled to present relAI at the TUM Open House Research Campus Garching! It was a great opportunity to share our vision of reliable AI and to connect with students, researchers and the public.
At our booth, we demonstrated how AI works through engaging games and simulations. Attendees explored how AI algorithms learn, trained their own neural networks, and dived into concepts like Simpson's Paradox and the mechanisms behind AI decision-making.
Join us at the TUM Open House Research Campus Garching!
We’re excited to invite you to our booth at the TUM Open House on October 3rd from 10 AM to 5 PM. Meet relAI students and coordinators at our booth, where you can experiment with building your own neural network or test your intuition against Simpson’s Paradox! You’ll find us in the Magistrale of the Mathematics & Informatics Building, right next to the info point.
At 2:45 PM, relAI Director Stephan Günnemann will deliver a talk on "Wie Künstliche Intelligenz die Wissenschaft verändert" ("How Artificial Intelligence is Changing Science"). This presentation, in German, will take place in the Friedrich L. Bauer Lecture Hall within the Mathematics and Computer Science building.
This Open House is a fantastic opportunity to explore other research institutes, labs, and take part in various hands-on activities throughout the day!
For more details, including how to engage with other activities at the event, visit:
Mark your calendars for these interesting talks coming up in the next weeks!
The next talk, by Daniela Rus, is on July 15th, at 5pm at Lichtenbergstraße 2a, 85748 Garching, Auditorium (Ground floor) of Institute for Advanced Study (IAS), TUM and via zoom. She is the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science, and Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT.
On Wednesday July 17th, Alexei A. Efros of University of California, Berkeley will discuss whether “We are (still?) not giving data enough credit”. The lecture takes place in cooperation with the ELLIS-Workshop on "Open Problems in Computer Vision & Generative Modelling" on the same day.
Sebastian Scherer, an Associate Research Professor at the Robotics Institute (RI) at Carnegie Mellon University (CMU) will present his approaches, progress, and results on multi-modal sensing on Monday, July 22nd, at TUM Garching Campus, FMI Building, Boltzmannstr. 3, Hörsaal 2 (00.04.011).
relAI is a co-organiser of the Munich AI lectures. Find more info on these other upcoming events on the Munich AI lectures home page.
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We are thrilled to share the outcome of the recent (03 - 05.07) relAI retreat, which brought together more than 50 fellows and students in Miesbach. Over the course of three days, participants engaged in intriguing discussions, insightful keynotes, and a variety of activities focused on the various aspects of reliability in AI.
Mathias Drton “Causal Discovery and Inference” Solveig Vieluf “Insights into the Research of the AI-based Telemonitoring Working Group” Matthias Althoff “Provably Safe Reinforcement Learning through Online Verification” Stefan Feuerriegel “Causal ML for Predicting Treatment Outcomes”
Students got to know each other better during the Speedgeeking and Lightning Talks sessions. The first one consisted of five minutes one to one discussions on questions relevant to relAI students. The Lightning Talks, one minute presentations of each student´s research topic, allowed for a fast though comprenhesive view of the research carried out throughout relAI.
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A part of the retreat followed an unconference format, fostering engaging group discussions on various challenges of reliability of AI. These ranged from the lack of sufficiently large datasets in medicine and healthcare, to explainability of foundation models and the societal impacts of large language models. Some of the discussions focused on improving the relAI program, such as our relAI seminar, relAI blog and relAI safety hackathon.
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Towards the end of the retreat, relAI Fellows celebrated the third relAI Fellows assembly, a successful meeting that tackled organizational and research issues of the school.
As relAI integrates into the Universities of Excellence, TUM and LMU, bringing together members who work and study across various parts of Munich, events like this retreat are invaluable. They strengthen the "relAI family," fostering collaboration, scientific exchange and community spirit. We are already looking forward to the next retreat!
Thank you to everyone who participated and contributed to making this event a great success.
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We are happy to announce that on October 29th, the three DAAD Zuse Schools of Excellence in Artificial Intelligence, ELIZA (Darmstadt), SECAI (Dresden) und relAI (Munich), will celebrate the second joint Meeting in Munich.
The event, co-organized by DAAD and relAI, will be honoured with the presence of representatives from the Bavarian State Ministry for Science and the Arts (StMWK), Federal Ministry of Education and Research (BMBF), TUM and LMU presidents, and DAAD, who will introduce the meeting with opening speeches. The program will be followed by talks from research fellows, students, and industry partners of the Zuse Schools and rounded by a podium discussion.
Preliminary Agenda
10:00
Welcome Adresses
Prof. Dr. Gerhard Kramer – Senior Vice President for Research and Innovation, TUM Prof. Dr. Hans van Ess – Vice President for Research, LMU Dr. Kai Sicks – DAAD Secretary General MinR’in Dr. Lisette Andreae – Head of Unit European Higher Education Area, Internationalization, BMBF MinDir Dr. Rolf-Dieter Jungk – Bavarian State Ministry for Science and the Arts (StMWK)
KeynoteTalk Prof. Björn Ommer - Head of Computer Vision & Learning Group, LMU
Coffee break and poster exhibition
Presentations by Students from the Zuse Schools
Lunch
14:00
Panel Discussion Reliability in times of generative AI Prof. Dr. Björn Ommer, LMU Dr. Ahmed Sayed – Head of EMEA Emerging Technologies, Amazon Web Services (AWS) Prof. Dr. Stefanie Speidel – NCT Department of Translational Surgical Oncology, TU Dresden
Presentations by Students from the Zuse Schools
Coffee break and poster exhibition
17:00
Industry Keynote Dr. Ahmed Sayed - Head of EMEA Emerging Technologies, AWS
Closing Remarks
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The next Munich AI Lecture will take place on Tuesday, June 25th at 5pm at Arcisstr. 21, Room 0790 and via zoom.
Ivan Laptev, visiting professor at MBZUAI and a senior researcher on leave from Inria Paris, will talk about "From Video Understanding to Embodied Agents". Mark your calendars and join us there!
The next Munich AI Lecture will take place on Tuesday, June 18th at 5 pm at Arcisstr. 21, Room 2750 (Karl Max von Bauernfeind auditorium) and via zoom.
This edition features Ludovic Righetti (New York University), who will talk about "Learning complex robotic behaviors with optimal control". Mark your calendars and join us there!
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.
