You don't have to be an expert or a scientist to understand the content here: All kinds of topics relating to artificial intelligence are explained simply and comprehensibly in English as part of the lecture series. All sessions can be experienced online - some even live on site!
Following the great success of the first two editions of the JAI Lecture Series, the third edition of the format will start in December. In three webinars, experts from different Arqus universities will share their knowledge about artificial intelligence.
If you would like to take part, you can already register for the first lecture here.
Session 1: How Generative AI impacts Work and Study
Date: 26 January 2026 (new date)
Time: 16:00 (CEST)
Format: Online
Abstract : In this living lab lecture we explore how Generative Artificial Intelligence (GenAI) impacts Reseaerch and Teaching. We dive into specialised GenAI-based web applications for scientific [literature] research and for generating teaching materials. We look at pitfalls, potential ways to avoid them and good scientific practice.
Speaker: Dr Robert Haase, University of Leipzig
Registration: Under this link
Session 2: The mathematics behind generative AI models in imaging
Datum: 11 February 2026
Uhrzeit: 15:00 (CEST)
Format: In-person & Online
Abstract: Generative AI models have revolutionized computational imaging. They enable unprecedented capabilities in consumer photography and visual content creation, and have also become the state of the art in scientific applications such as biomedical imaging.
In this talk, I will explain the mathematics behind generative AI models in imaging. We will discuss their probabilistic foundations and main working principles, potential pitfalls, how they can be tuned to specific imaging problems, and illustrate these ideas with real-world examples from Magnetic Resonance Imaging.
Speaker: Dr Martin Holler, Universität Graz
Registration: Under this Link