AI Talks @JMU Winter 2023/24
In the 5th series of AI talks, selected guests and new CAIDAS members present their research with exciting talks on current activities and projects. The talks will take place on tuesdays at 16:15. The talks will be 45 minutes, followed by a 15-minute discussion. The language of presentation is English.
Afterwards there will be the opportunity for a casual get together. At the first and the last talk of the series there will also be some drinks and snacks.
If no other information is given, the talks will take place in Z6 building in room 0.002.
See below for details.
past talks:
- 21 November: Alicia von Schenk
- 24 November: Florian Mai
- 4 December: Heiko Hamann
- 5 December: Katharina Morik
- 19 December: Leon Bungert
- 16 January: Petra Mutzel
- 30 January: Daniel Loebenberger
- 6 February: Ciro Cattuto
- 20 February: Christophe Zimmer
- 27 February Mathias Fey
past series:
past talks
21 November
Junior Professorship of Applied Microeconomics, esp. Human-Machine Interaction, JMU Würzburg
Topic: Can Less Be More? User-Driven Data Selection and Targeting in AI Recommender Systems
24 November
Dr. Florian Mai
Language Intelligence & Information Retrieval lab, KU Leuven
Topic: (When) do we still need self-attention?
4 December
Prof. Dr. Heiko Hamann
Cyber-physical Systems, Uni Konstanz
Topic: Swarm Robotics and Human-Swarm Interaction: Scalability, Minimizing Surprise, and Time-Perception
5 December
Prof. Dr. Katharina Morik
Lamarr Institute for Machine Learning and Artificial Intelligence
Topic: Machine Learning and Sustainability
19 December
Mathematics of Machine Learning, CAIDAS, JMU Würzburg
Topic: It begins with a boundary: Robustness on the interface of geometry and probability
16 January
Prof. Dr. Petra Mutzel
Chair of Computational Analytics, Uni Bonn
Topic: Algorithmic Data Science on Graphs
30 January
Prof. Dr. Daniel Loebenberger
Department of Electrical Engineering, Media and Computer Science, OTH Amberg-Weiden
Topic: Attack Surfaces Created by Generative AI
6 February
Prof. Dr. Ciro Cattuto
ISI Foundation, Torino
Topic: Network science and Machine Learning for high-resolution human proximity data
20 February
Chair of High resolution optical microscopy, Rudolf Virchow Center, JMU Würzburg
Topic: Deep learning for microscopy, microbiology and epidemiology
27 February
Dr. Matthias Fey
