17
Jul

Munich AI Lectures • 17.07.2025 • Room B006, Main LMU Building, Geschwister-Scholl-Platz 01, 80539 Munich
5:00 pm - 7:00 pm
Deep Learning Theory: What We Know, What We Are Learning, and What Remains Unclear
Prof. Dr. Guido Montúfar, UCLA
On 17 July 2025, Guido Montúfar will give a talk as part of the Munich AI Lectures series. The lecture, titled “Deep Learning Theory: What we know, what we are learning, and what remains unclear," addresses the mathematical foundations of deep learning and the rapidly developing theory behind neural networks.
09
Jul

Munich AI Lectures • 09.07.2025 • Plenarsaal of the Bavarian Academy of Sciences and Humanities (BAdW), Alfons-Goppel-Straße 11, 80539 Munich
6:30 pm - 9:00 pm
Foundational Methods for Foundation Models for Scientific Machine Learning
Prof. Dr. Virginia Dignum, Umeå University
The next edition of the Munich AI Lecture series will take place on Wednesday, July 9, 2025, at 6:30 PM in the Plenarsaal of the Bavarian Academy of Sciences and Humanities in Munich.
08
Jul

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MCML Diversity Stammtisch • 08.07.2025 • Gasthaus FUX - Türkenstraße 38, 80799 München
6:00 pm - 9:00 pm
MCML Diversity Stammtisch
Join Us for an Evening of Connection and Conversation
Feeling out of place in academia? First in your family to go to university? Navigating language or cultural barriers in Germany? Neurodivergent? Or simply passionate about inclusion?
08
Jul

©CAS/LMU
Lecture • 08.07.2025 • LMU Center for Advanced Studies, Seestraße 13, 80802 Munich
12:15 pm - 1:45 pm
Lunch Talk: Understanding of Non-Verbal Behavior by Multimodal AI Systems
With MCML Members Philipp Wicke and Sven Mayer.
In this talk the Understanding of Non-Verbal Behavior by Multimodal AI Systems will be discussed. Speaker: Philipp Wicke
(MCML/LMU)
Respondent: Sven Mayer
(MCML/LMU) Only with registration!
03
Jul
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06
Jul

©1E9
Festival • 03.07.2025 - 06.07.2025 • Deutsches Museum, Munich
Festival of the Future 2025
Björn Ommer, MCML
The Festival of the Future 2025 gathers leading experts from science, technology, and art to explore innovations shaping our future. The event features talks, panel discussions, and interactive exhibits on topics like artificial intelligence, sustainability, and space exploration. Björn Ommer, our PI, will be among the speakers, sharing insights on …
02
Jul

Summit • 02.07.2025 • Kohlebunker (Motorworld) München-Freimann
2:00 pm - 8:00 pm
MCML Munich AI Day 2025
MCML Celebrates Second Summit
We are happy to invite you to this year’s MCML Munich AI Day, hosted by the Munich Center for Machine Learning (MCML) on 2nd July 2025. Join national and international AI researchers, policymakers, industry leaders, and media representatives as we explore the most pressing AI-related questions of our time. The event aims to discuss the …
02
Jul

Masterclass • 02.07.2025 • Kohlebunker (Motorworld) München-Freimann
11:00 am - 12:00 pm
Masterclass Entrepreneurship
Join Us for Networking and Insights
The other Masterclass will be on Entrepreneurship, in collaboration with TUM Venture Labs and the LMU Innovation and Entrepreneurship Center. The Masterclass on Entrepreneurship will last from 11 to 12 am. There will be two impulses from members of the respective collaboration partners on how to build your own company, and on ways of getting …
02
Jul

Masterclass • 02.07.2025 • Kohlebunker (Motorworld) München-Freimann
9:00 am - 12:00 pm
Masterclass Science Communication
Join Us for Networking and Insights
This masterclass will be in collaboration with the Tübingen AI Center and RhetAI, coordinated by Verena. The workshop will last from 9 to 12 am. Learn how to communicate your research and how to make your work accessible, engaging, and impactful beyond academic circles. This course equips you with the tools to share your research with broader …
01
Jul

Workshop • 01.07.2025 • House of Communication, August-Everding-Straße 25, 81671 Munich
5:30 pm - 9:00 pm
Part 2: Comparing Notes on Trustworthy AI
Risk vs. Reward?! Implementing AI Agents in Startups, SMEs, and Public Organisations
The next “Comparing Notes on Trustworthy AI” event by the Bavarian AI Act Accelerator dives into whether AI agents are truly worth it for startups, SMEs, and public organisations – especially when resources are limited.
26
Jun

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Lecture • 26.06.2025 • CAS, Seestraße 13, 80802 Munich
6:30 pm - 9:00 pm
Bayesian Insights on Polarization and Disagreement
Prof. Leah Henderson, Ph.D. (CAS Fellow/Groningen)
As part of the CAS Research Focus “Bayesian Reasoning: A Grammar of Science?”, the Center for Advanced Studies (CAS) is hosting a lecture by Leah Henderson from the University of Groningen.
25
Jun

Colloquium • 25.06.2025 • LMU Department of Statistics and via zoom
4:15 pm - 5:45 pm
Practical Causal Reasoning as a Means for Ethical ML
Isabel Valera, Uni Saarbrücken
In this talk I will give an overview of the role of causality in ethical machine learning, and in particular, in fair and explainable ML. In particular, I will first detail how to use causal reasoning to study fairness and interpretability problems in algorithmic decision making, stressing the main limitations that we encounter when aiming to …
23
Jun
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27
Jun

©ScaDS.AI
Summer School • 23.06.2025 - 27.06.2025 • Penck Hotel Dresden, Ostra-Allee 33, 01067 Dresden, Germany
1:00 pm - 12:30 pm
11. International Summer School on AI and Big Data
Mehwish Alam, Télécom Paris
Fredrik Heintz, Linköping University
Ralf Koerrenz, University Jena
Philipp Lorenz-Spreen, TU Dresden University of Technology
Anand Subramoney, Royal Holloway, University of London
The 11th International Summer School on AI and Big Data brings together graduate students, PhD students, researchers, and professionals interested in the areas of Artificial Intelligence, Big Data, and Machine Learning. This year, the focus will be on Language Models and their applications, especially in areas such as education and ethics. What to …
11
Jun

Colloquium • 11.06.2025 • LMU Department of Statistics and via zoom
4:15 pm - 5:45 pm
Veridical Data Science and PCS Uncertainty Quantification
Bin Yu, Berkeley
Data Science is central to Al and has driven most of the recent advances in biomedicine and beyond. Human judgment calls are ubiquitous at every step of the data science life cycle (DSLC): problem formulation, data cleaning, EDA, modeling, and reporting. Auch judgment calls are often responsible for the “dangers” of Al by creating a universe of …
04
Jun

Colloquium • 04.06.2025 • LMU Department of Statistics and via zoom
4:15 pm - 5:45 pm
Democratizing Methods
Jennifer Hill, New York University
The past few decades have seen an explosion in the development of freely available software to implement statistical methods and algorithms to help explore and analyze data. However, researchers tend to assume that releasing software packages implementing specific methods is sufficient for ensuring that the tools are adopted and used correctly. …