Beyond Chatbots: Applications and Foundations of Machine Learning

Date: 5 November 2026, 14:00 – 15:00 (CET)Price: Free (for eligible participants)Format: AI:AT Webinar, ONLINE (Zoom)Target audience: Industry, public admin, academiaLanguage: EnglishOrganizer: AI:ATGet 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, beyond AI chatbots. 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 audienceEveryone 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 & prerequisitesBeginner – no prior AI or technical knowledge is required.Agenda14:00   Welcome & Presentation of AI Factory Austria AI:AT14:05   Applications and Foundations of Machine LearningFoundations of different machine learning techniques using very simple examples Supervised Machine Learning Unsupervised Machine Learning Reinforcement Learning Application Scenarios of machine learning in different areas Manufacturing Smart Farming E-Health Gastronomy and Tourism14:50   Questions & DiscussionSpeakerDaniel 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.LanguageEnglishRegistrationRegistration 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 [email protected] if you have any questions.Modification, withdrawal & no-show policyYour registration is binding. Please only register for the course if you are really going to attend.You can update your registration data or withdraw your registration anytime before the registration form has been closed via the link "Manage my registration" which you can find at the bottom of your automatic email confirmation (subject starting with "[Indico] Registration").Alternatively, or after the registration form has been closed, please inform us about your cancelation or any change in your registration data (especially your mobile-phone number) via email ([email protected]).No-show policy: If you do not cancel and do not show up at the course you will be blacklisted and excluded from future training events.OrganizersThis webinar is organized by AI Factory Austria AI:AT.AcknowledgementsAI 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). 

https://events.asc.ac.at/event/336/