During the semester, we host leading experts in AI every two weeks. These events take place in-person Berlin (no hybrid option). Talks are recorded and published afterwards on our YouTube channel. Join us to learn from the best in the field and connect with the community!
#30February 10, 2026
The Price of Intelligence: Three Risks Inherent in LLMs
Ahmed Salem - Microsoft Security Response Center (MSRC)
#29January 27, 2026
Can Humans Flourish in the Age of AI?
David Watson - King's College London
#28January 13, 2026
Test-Time Training Agents for Deep Exploration
Jonas Hübotter - ETH Zurich
#27December 16, 2025
Insights into Training Video Models
Dilara Gökay - Google DeepMind
#26December 2, 2025
What's Next in Continual Learning for Foundation Models?
Ameya Prabhu - Tübingen AI Center
#25November 18, 2025
Generative World Models
Ashley Edwards - Google DeepMind
#24November 4, 2025
Scaling AI Safety Across Cultures and Languages
Beyza Ermiş - Cohere
#23October 21, 2025
Why do LLMs struggle with Long Context?
Federico Barbero - Google DeepMind, University of Oxford
#22July 15, 2025
Detecting Hallucinations in Large Language Models Using Semantic Entropy
Jannik Kossen - Meta FAIR
#21July 1, 2025
Progress in AI Safety and Security
Adel Bibi - University of Oxford
#20June 17, 2025
Radiance Fields are Dead (and why that's OK)
Daniel Duckworth - Google DeepMind
#19June 3, 2025
Watermark Anything with Localized Messages
Pierre Fernandez - FAIR Meta AI
#18May 20, 2025
Scalable Emulation of Protein Equilibrium Ensembles with Generative Deep Learning
Yu Xie and Michael Gastegger - Microsoft AI4Science
#17May 6, 2025
CAPI: Cluster & Predict Patches for Improved Image Modeling
Timothée Darcet - Meta AI, Inria
#16April 22, 2025
Can Compressing Foundation Models be as Easy as Image Compression?
Martin Genzel - Merantix Momentum
#15February 4, 2025
The Science of Decision-Making
Prof. Sanaz Mostaghim - Otto von Guericke University of Magdeburg
#14January 21, 2025
Learning Physical Laws from Data
Prof. Sven Wang - HU Berlin
#13January 7, 2025
Making AI fit for the Life Sciences
Prof. Katharina Baum - FU Berlin
#12December 17, 2024
Combining Reinforcement Learning and Generative Models for de novo Drug Design
Nima Siboni and Miguel Andres - InstaDeep
#11December 3, 2024
Sequential and Active Decision Making: Bandit Theory
Prof. Alexandra Carpentier - University of Potsdam
#10November 19, 2024
Planning in the Age of Learning
Prof. Marc Toussaint - TU Berlin
#9November 5, 2024
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Robert Lange - Sakana.AI
#8October 22, 2024
The Role of AI in Disinformation Resilience
Veronika Solopova - TU Berlin
#7July 9, 2024
Learning molecular models by integrating machine learning and experimental data
Prof. Cecilia Clementi - FU Berlin
#6June 25, 2024
[CANCELLED] Human alignment of neural network representations
Lukas Muttenthaler - Google DeepMind, TU Berlin
#5June 11, 2024
Intelligent Flying Multi-Robot Systems
Prof. Wolfgang Hoenig - TU Berlin
#4May 28, 2024
Natural language representations in brains and machines
Prof. Fatma Deniz - TU Berlin
#3May 14, 2024
Towards Open Language Models for Europe
Malte Ostendorff - DFKI
#2April 30, 2024
MatterGen: A Generative Model for Inorganic Materials Design
Daniel Zügner - Microsoft AI4Science
#1April 16, 2024
Set Learning for Accurate and Calibrated Models
Thomas Unterthiner - Google DeepMind
