| Date: | 19 March 2026, 14:00 – 15:00 (CET) | Price: | Free (for eligible participants) | |
| Format: | AI:AT Webinar, ONLINE (Zoom) | Target audience: | Academia, industry, public admin | |
| Language: | English | Organizer: | AI:AT & ASC |
Get to know different machine learning techniques like supervised, unsupervised, and reinforcement learning and discover how they are applied in different industry sectors.
When people talk about Artificial Intelligence (AI) today, Large Language Models (LLMs) such as ChatGPT and Claude are often the first that come to mind. But AI goes far beyond LLMs.
In this webinar, we explore machine learning, the technique at the core of LLMs, and uncover how it powers innovation across industries. Through simple examples, we introduce key machine learning and deep learning methods, then show how these techniques create real value in fields like manufacturing, healthcare, tourism, and smart farming.
Target audience
Everyone is welcome who wants to get to know different machine learning techniques and their application in different industry sectors.
This webinar is open and free of charge for all participants from academia, industry, and public administration from EU and/or EuroHPC JU member countries.
Entry level & prerequisites
Beginner – no prior AI knowledge is required.
Agenda
14:00 Welcome & Presentation of AI-Factory Austria AI:AT
14:05 Beyond GenAI: Machine Learning Fundamentals and Applications
- Definition of different machine learning techniques using very simple examples
- Supervised Machine Learning
- Unsupervised Machine Learning
- Reinforcement Learning
- Deep Learning Application Scenarios of machine learning in different areas
- Manufacturing
- Smart Farming
- E-Health
- Gastronomy and Tourism
14:50 Questions & Discussion
Speaker
Daniel Lehner (AI Factory Austria AI:AT)
Dr. Daniel Lehner works as expert in AI knowledge transfer at AI Factory Austria AI:AT. He also works as a consultant and trainer at TwinTech, helping companies to efficiently exploit the potential of digitalization through the use of artificial intelligence and digital twins. In addition to his work with various companies, he also draws on his many years of experience in researching digital twins and artificial intelligence at Johannes Kepler University in Linz.
Language
English
Date, time, and location
19.03.2026, 14:00 – 15:00 (CET), LIVE ONLINE WEBINAR (Zoom)
If there is sufficient interest, we may offer an additional in-person attendance option in Vienna.
Registration
Registration is required, the link to the registration form can be found on the top of this page in the menu on the left. Please register with your official institutional email address to prove your affiliation.
You will get the Zoom link in the automatic confirmation by email (subject starting with "[Indico] Registration"), please check your Spam/Junk folders). We will also send 1–2 reminders before the webinar.
Please do not hesitate to contact us at training@ai-at.eu if you have any questions.
Organizers
This webinar is jointly organized by AI Factory Austria AI:AT and Austrian Scientific Computing (ASC) (aka ASC Research Center, TU Wien).
Acknowledgements
AI Factory Austria AI:AT has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101253078. The JU receives support from the Horizon Europe Programm of the European Union and Austria (BMIMI / FFG).
