AI in Manufacturing: From Hype to Reality
Date: 21 October 2026, 14:00 – 15:00 (CET)Price: Free (for eligible participants)Format: AI:AT Webinar, ONLINE (Zoom)Target audience: Industry, public admin,…
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About this event
Date: 21 October 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:ATFrom predictive maintenance to self-adapting systems, Artificial Intelligence (AI) offers us enormous potential to operate manufacturing systems more efficiently and develop them more sustainably.However, the actual potential here goes far beyond the use of generative AI tools (such as ChatGPT, Le Chat from Mistral, or Canva AI).While generative AI offers many opportunities to revolutionize our everyday work in many areas, it currently tends to disappoint in the operative manufacturing environment. To harness the great potential of AI here, we need AI techniques such as neural networks and genetic algorithms. In this webinar, we will show you how these AI techniques work in practice and illustrate how you can use them to take your IoT applications to the next level.Target audienceEveryone is welcome who wants to learn which AI techniques can benefit the manufacturing domain, no technical knowledge required.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 AI in ManufacturingBrief introduction into manufacturing, Industry 4.0, and how these areas relate to AIWhat do we want to achieve by applying AI in manufacturing systems?Introduction to AI techniques using specific manufacturing use casesAnomaly detection and predictive maintenance with machine learningImage recognition with neural networksAutomated replanning after errors with genetic algorithmsChallenges in practice14:50 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.RegistrationRegistration 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/337/
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