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CAI Colloquium

We invite AI experts to present and discuss topics relevant to the scope of the CAI. The colloquium takes place on Thursdays from 11:00-12:00 at the Winterthur Campus of ZHAW.

Dates

Date Speaker Title Material

2026

     

Fri 28.08

Prof. Dr. Mengjie Zhang (Victoria University of Wellington, New Zealand) Evolutionary Machine Learning: Research, Applications and Opportunities  

Thu 09.07.

Prof. Dr. Christoph Heitz (ZHAW IDS) How to build non-discriminatory ML-based decision systems  

Thu 18.06.

Dr. Rebecca Balebak (ZHAW InIT) Are AI Red Teams the Thor or Loki of AI safety?  

Thu 26.03.

Kristoffer Wickstrøm (UiT The Arctic University, Tromso, Norway) Label-efficient computer vision through few-shot learning  

2025

     

Thu 03.07.

Dr. Cornelia Walther (U Penn/Wharton) Cultivating ProSocial AI Through Hybrid Intelligence  

Thu 26.06.

Dr. Ahmed Abdulkadir (ZHAW CAI) Translating machine learning research into clinical image analysis  

Thu 24.04.

Dr. Lukas Tuggener (RWAI AG) How DeepSeek trained their own reasoning LLM  

2024

     

Thu 21.11.

Dr. Katya Mirylenka (Zalando) Optimizing Large Language Models for Robust Domain-Specific NL2SQ  

Thu 18.04.

Dr. André Meyer-Vitali (DFKI, German Research Centre for AI) Mature AI Engineering for Trust by Design

Thu 25.01.

Dr Matteo Manica (IBM Research Europe, Zurich) Harnessing the Power of Language Models to Accelerate Material Design

2023

     

Wed 22.11.

Prof. Dr. Florian Tramèr (ETHZ) Generative models have the memory of an elephant

Wed 08.11.

Prof. Dr. Jacob Whitehill, Worcester Polytechnic Institute (WPI), USA AI Systems for Automated Guidance to Students, Teachers, and Workers

Wed 18.10.

Graham Budd (The Faraday Institute, Cambridge, UK) AI - Challenging humanity

Wed 11.10.

Dr. Alisa Rupenyan-Vasileva (ZHAW, CAI) Intelligent manufacturing in the era of Industry 4.0 enabled by data-driven optimization

Wed 05.07.

Prof. Dr. Lars Kaderali  (Univ. Greifswald, D)  From Data to Discovery: Harnessing AI in Medicine for Improved Patient Care

Wed, 07.06.

Prof. Dr. Kurt Stockinger (ZHAW) Quantum Machine Learning – The Next Big Thing?

Wed, 24.05.

Dr. Cristiano Malossi (IBM Research) The Future of Visual Inspection for Civil Infrastructure

Wed, 10.05.

Prof. Dr. Jan Dirk Wegner (UZH) Large-scale analysis of geospatial data with machine learning

Wed, 26.04.

Marcel Griesinger (ZHAW SML) Das neue Datenschutzrecht und seine Umsetzung in der Praxis, u.a. im Bereich KI

Wed, 01.03.

Prof. Dr. Thomas Martinetz (Univ. Luebeck, D) Large deep neural networks do learn with small data sets

2022

     

Wed, 23.11.

Prof. Dr. Benjamin Grewe (ETHZ/UZH) Why auto-encoding is not enough

Wed, 19.10.

Frank Wittmann & Meret Weiser (ZHAW) Algorithms and ML in Social Work

Wed, 20.7.

2nd Panel Discussion (Ch.v.d. Malsburg, R. Douglas, Y. Sandamirskaya, B. Grewe, T. Stadelmann, R. Chavarriaga) Pathways beyond present AI (Part 2): Artificial Intelligence: Game Over? News

Wed, 27.04.

1st Panel Discussion Pathways beyond present AI News

Wed, 30.3.

Dr. Lucas Beyer (Google Brain) Transformers as general vision backbones

Wed, 2.3.

Sebastian Welter (IKEA) Scaling AI in Enterprises PDF

Wed, 16.2.

Prof. Dr. Volker Dellwo (UZH) Can speakers make themselves more recognisable?: Voice dynamics and its influence on voice recognition PDF

2021

     

Wed, 17.11.

Prof. Dr. Christoph von der Malsburg How can kids learn so much faster than transformers? Recording PDF

Wed, 8.9.

Prof. Nicolaj Stache (HS Heilbronn) From Simulation to Reality using Reinforcement Learning PDF

Wed, 25.8.

Prof. Marco Gori (U Siena) Learning to See by Motion Invariance PDF

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