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SUMMARY:AI in Manufacturing: From Hype to Reality
DTSTART:20261021T120000Z
DTEND:20261021T130000Z
DTSTAMP:20261014T040500Z
UID:indico-event-337@events.asc.ac.at
CONTACT:training@ai-at.eu
DESCRIPTION:Date: 21 October 2026\, 14:00 – 15:00 (CET)Price: Free (fo
 r eligible participants)Format: AI:AT Webinar\, ONLINE (Zoom)Target audie
 nce: Industry\, public admin\, academiaLanguage: EnglishOrganizer: AI:A
 TFrom predictive maintenance to self-adapting systems\, Artificial Intelli
 gence (AI) offers us enormous potential to operate manufacturing systems m
 ore efficiently and develop them more sustainably.However\, the actual pot
 ential here goes far beyond the use of generative AI tools (such as ChatGP
 T\, Le Chat from Mistral\, or Canva AI).While generative AI offers many op
 portunities to revolutionize our everyday work in many areas\, it currentl
 y tends to disappoint in the operative manufacturing environment. To harne
 ss the great potential of AI here\, we need AI techniques such as neural n
 etworks and genetic algorithms. In this webinar\, we will show you how the
 se AI techniques work in practice and illustrate how you can use them to t
 ake your IoT applications to the next level.Target audienceEveryone is wel
 come 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 administ
 ration from EU and/or EuroHPC JU member countries.Entry level & prerequisi
 tesBeginner – no prior AI or technical knowledge is required.Agenda14:00
    Welcome & Presentation of AI Factory Austria AI:AT14:05   AI in Manuf
 acturingBrief introduction into manufacturing\, Industry 4.0\, and how the
 se areas relate to AIWhat do we want to achieve by applying AI in manufact
 uring systems?Introduction to AI techniques using specific manufacturing u
 se casesAnomaly detection and predictive maintenance with machine learning
 Image recognition with neural networksAutomated replanning after errors wi
 th genetic algorithmsChallenges in practice14:50   Questions & Discussion
 SpeakerDaniel 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 Twi
 nTech\, helping companies to efficiently exploit the potential of digitali
 zation through the use of artificial intelligence and digital twins. In ad
 dition to his work with various companies\, he also draws on his many year
 s of experience in researching digital twins and artificial intelligence a
 t Johannes Kepler University in Linz.RegistrationRegistration is required\
 , the link to the registration form can be found on the top of this page i
 n the menu on the left. Please register with your official institutional e
 mail address to prove your affiliation.You will get the Zoom link in the a
 utomatic confirmation by email (subject starting with "[Indico] Registrati
 on")\, please check your Spam/Junk folders). We will also send 1–2 remin
 ders before the webinar.Please do not hesitate to contact us at training@a
 i-at.eu if you have any questions.Modification\, withdrawal & no-show poli
 cyYour registration is binding. Please only register for the course if you
  are really going to attend.You can update your registration data or withd
 raw 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] Regist
 ration").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 (training@ai-at.eu).
 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.OrganizersThi
 s webinar is organized by AI Factory Austria AI:AT.AcknowledgementsAI Fact
 ory Austria AI:AT has received funding from the European High-Performance 
 Computing Joint Undertaking (JU) under grant agreement No 101253078. The J
 U receives support from the Horizon Europe Programm of the European Union 
 and Austria (BMIMI / FFG).\n\nhttps://events.asc.ac.at/event/337/
LOCATION:Zoom (ONLINE)
URL:https://events.asc.ac.at/event/337/
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