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Fall School • 27 November 2023 3rd AutoML Fall School 2023

The 3rd edition of AutoML Fall School is scheduled for Nov 27-30 in Munich, marking a collaborative effort between the universities of Munich, Freiburg, and Hannover, organized locally by Prof. Dr. Bernd Bischl, Prof. Dr. Matthias Feurer, Prof. Dr. Marius Lindauer, Prof. Dr. Frank Hutter, Dr. Janek Thomas and Dr. Marcel Wever, and sponsored by the MCML. It serves as a valuable platform for advanced Master’s students, early Ph.D. students, and ML practitioners to deepen their understanding of AutoML.

Symposium • 17 November 2023 Symposium on AI Research at LMU

On 29th November 2023 from 6:15 pm to 8:00 pm, this year's Symposium on AI Research taking place in LMU's Große Aula will showcase the next generation of AI research at LMU. The evening will start with introductions by Vice-President Prof. Dr. Oliver Jahraus, Michael Greiner of the Bavarian State Ministry of Science and Art, Dr. Michael Klimke from baiosphere, and remarks by Prof. Dr. Gitta Kutyniok. Ten newly appointed AI Professors will then showcase their groundbreaking research, delving into areas from medicine and finance to cultural heritage. The event concludes with a reception at the Lichthof.

Keynote and Hackathon • 17 November 2023 AI meets Entrepreneurs: Impact Bootcamp towards Food Security and Nutrition

On November 17th and 18th, a collaborative event is set to take place at LMU, organized in partnership with the Munich Center for Machine Learning, impACTup!, Netlight Consulting GmbH, and the ZD.B / LMU Media Informatics Group. The event seeks to explore the role of AI in food security, drawing insights from notable AI researchers, entrepreneurs, and representatives from the World Food Programme. Participants will have the opportunity to discuss current challenges and to present AI-driven approaches to address food security. It promises a thoughtful exploration of the interplay between technology and global food concerns.

Conference • 6 November 2023 Second TRR 318 Conference: Measuring Understanding

This year‘s conference of the collaborative research center TRR 318 “Constructing Explainability” involving LMU focuses on measuring understanding. We invite all researchers working on Explainable Artificial Intelligence research to submit your work as an abstract until 15.05.2023 to conference@trr318.uni-paderborn.de. The conference will be held in Paderborn from the 06.11.2023 – 07.11.2023 and there will be no conference fees.

Workshop • 9 October 2023 AI Double Feature. Neuro-Symbolic AI / AI and Sustainability

Workshop unter Leitung von Prof. Dr. Eyke Hüllermeier, Prof. Dr. Göran Kauermann und Prof. Dr. Hinrich Schütze (LMU). In spite of the tremendous success of machine learning, especially in its modern guise of deep learning, purely statistical, data-driven approaches to artificial intelligence (AI) are still lacking the commonsense abilities that distinguishes humans from machines. Neuro-symbolic AI is a new branch of AI that seeks to combine the best of both worlds, data-driven learning and inductive inference on the one side, and more human-like symbolic reasoning and knowledge processing on the other. This AI double-feature workshop discusses the latest developments in the field of neuro-symbolic AI as well as the impact of AI on sustainable development.
Workshop am Montag, 9. Oktober 2023
Neuro-Symbolic AI
Workshop am Dienstag, 10. Oktober 2023
AI and Sustainability

Workshop • 9 October 2023 AI Double Feature. Neuro-Symbolic AI / AI and Sustainability

Workshop unter Leitung von Prof. Dr. Eyke Hüllermeier, Prof. Dr. Göran Kauermann und Prof. Dr. Hinrich Schütze (LMU). In spite of the tremendous success of machine learning, especially in its modern guise of deep learning, purely statistical, data-driven approaches to artificial intelligence (AI) are still lacking the commonsense abilities that distinguishes humans from machines. Neuro-symbolic AI is a new branch of AI that seeks to combine the best of both worlds, data-driven learning and inductive inference on the one side, and more human-like symbolic reasoning and knowledge processing on the other. This AI double-feature workshop discusses the latest developments in the field of neuro-symbolic AI as well as the impact of AI on sustainable development.
Workshop am Montag, 9. Oktober 2023
Neuro-Symbolic AI
Workshop am Dienstag, 10. Oktober 2023
AI and Sustainability

Workshop • 29 September 2023 AI-Talk by Yann LeCun: From Machine Learning to Autonomous Intelligence

How could machines learn as efficiently as humans and animals? How could machines learn to reason and plan? How could machines learn representations of percepts and action plans at multiple levels of abstraction, enabling them to reason, predict, and plan at multiple time horizons? Prof. Dr. Yann LeCun, Chief AI Scientist for Meta AI Research and Silver Professor at the Courant Institute of Mathematical Sciences at New York University will propose a possible path towards autonomous intelligent agents, based on a new modular cognitive architecture and a somewhat new self-supervised training paradigm. The centerpiece of the proposed architecture is a configurable predictive world model that allows the agent to plan. Behavior and learning are driven by a set of differentiable intrinsic cost functions. The world model uses a new type of energy-based model architecture called H-JEPA (Hierarchical Joint Embedding Predictive Architecture). H-JEPA learns hierarchical abstract representations of the world that are simultaneously maximally informative and maximally predictable.

Talk • 27 July 2023 AI Keynote with Prof. Dr. Dokyun Lee, Boston University. Topic tbd.

We, the Institute of AI in Management at LMU Munich, are excited about AI in management and the dynamic developments in this field. That is why we would like to provide first-hand insights into the latest research work, granted by high profile scientists from all over the world. We are very honoured to be able to win great guest speakers for the keynotes every semester. All session will be available via Zoom for everyone who is interested. We aim to provide an overview of current trends in AI research. The weekly sessions, on Thursdays, consist of 45-60 minutes of presentation, followed by discussion, feedback and QA. We are looking forward to seeing you there.

Panel Discussion • 13 July 2023 Generative AI in the Industry, Media, and Beyond. Chances and Challenges of Stable Diffusion

Stable Diffusion is a text-to-image AI-model capable of generating photo-realistic images given merely a textual description of the desired image content. This makes it possible to generate images quite easily without requiring special artistic skills, computer knowledge, or computer hardware and in a matter of seconds. In the few months since its release, it has become an enabling technology and platform for a large body of further research, numerous start-ups, and industrial applications. Having millions of daily users already and being among the fastest adopted open-source projects, Stable Diffusion has shown a great transformative potential with impact on many practical application areas. The opportunities, challenges, and the changes that the use of Stable Diffusion brings will be discussed in this panel with the automotive industry and image agencies as examples. Featuring Thiemo Fieger ist Leiter des Programms „Algorithmic Engineering & AI“ bei BMW. n Björn Ommer leitet die Computer Vision & Learning-Arbeitsgruppe an der LMU und hat den Stable Diffusion zugrundeliegenden Algorithmus entwickelt. n Christian Schiffer ist Journalist, Moderator beim BR und Co-Autor des Tech-Podcasts Umbruch von BR24. n Martin Skultety ist Geschäftsführer der Bild- agentur Image Professionals in München

Talk • 6 July 2023 AI Keynote with Prof. Dr. Lu Cheng, University of Illinois Chicago. Topic tbd.

We, the Institute of AI in Management at LMU Munich, are excited about AI in management and the dynamic developments in this field. That is why we would like to provide first-hand insights into the latest research work, granted by high profile scientists from all over the world. We are very honoured to be able to win great guest speakers for the keynotes every semester. All session will be available via Zoom for everyone who is interested. We aim to provide an overview of current trends in AI research. The weekly sessions, on Thursdays, consist of 45-60 minutes of presentation, followed by discussion, feedback and QA. We are looking forward to seeing you there.