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SUMMARY:Intelligent\, flexible and human-centric manufacturing systems
DTSTART:20260925T110000Z
DTEND:20260925T123000Z
DTSTAMP:20260825T200500Z
UID:indico-event-329@events.asc.ac.at
CONTACT:training@ai-at.eu
DESCRIPTION:Date: 25 September 2026\, 13:00 – 14:30 (CET) Price: Free
  (for eligible participants)Format: AI:AT Webinar\, ONLINE (Zoom) Target
  audience: Industry\, public admin\, academiaLanguage: English Organize
 r: AI:ATDive into real-world examples of intelligent algorithms that make
  production systems more flexible\, resilient\, and sustainable - enabling
  efficient\, high-quality manufacturing even under dynamic and uncertain c
 onditions.In this webinar we provide insights into AITs solution approache
 s in the area of automation in production systems. A key focus lies on dat
 a and knowledge management as the foundation for data-driven optimization.
  By combining data\, domain knowledge\, and physical understanding\, we en
 able informed decision-making using artificial intelligence.In this webina
 r you will learn:How AI can improve quality and efficiency in manufacturin
 g.Gain insights into the role of data\, domain knowledge\, and physics in 
 robust AI solutions.Recognize the limitations of purely data-driven approa
 ches in industrial settingsTarget audienceThis webinar is open and free of
  charge for all participants from academia\, industry\, and public adminis
 tration from EU and/or EuroHPC JU member countries.Entry level & prerequis
 itesBasic - no previous experience required.AgendaWelcome & Presentation o
 f AI Factory Austria AI:AT General overview of AIT (5 mins)Presentation o
 f selected projects (60 mins) Which topics should be discussed in more de
 tail? (10 mins)Questions & Discussion (10 mins)  SpeakersStephan Stromme
 r (AIT Austrian Institute of Technology)  Stephan Strommer has been work
 ing as a research engineer at AIT for 10 years. He holds a PhD studies in 
 Automation and Control Engineering at TU Wien and leads strategic and scie
 ntifc projects in the field of manufacturing at AIT. His work focuses on c
 ombining physics-based and data-driven modelling with advanced process mon
 itoring\, control\, and optimisation\, as well as IIoT and data and knowle
 dge management to develop robust\, intelligent solutions for industrial pr
 oduction. LanguageEnglishDate\, time\, and location25.09.2026\, 13:00 –
  14:30 (CET)\, LIVE ONLINE WEBINAR (Zoom)RegistrationRegistration is requi
 red\, the link to the registration form can be found on the top of this pa
 ge in the menu on the left. Please register with your official institution
 al email address to prove your affiliation.You will get the Zoom link in t
 he automatic confirmation by email (subject starting with "[Indico] Regist
 ration")\, please check your Spam/Junk folders). We will also send 1–2 r
 eminders before the webinar.Please do not hesitate to contact us at traini
 ng@ai-at.eu if you have any questions.OrganizersThis webinar is organized 
 by AI Factory Austria AI:AT.AcknowledgementsAI Factory Austria AI:AT has r
 eceived funding from the European High-Performance Computing Joint Underta
 king (JU) under grant agreement No 101253078. The JU receives support from
  the Horizon Europe Programm of the European Union and Austria (BMIMI / FF
 G). \n\nhttps://events.asc.ac.at/event/329/
LOCATION:Zoom (ONLINE)
URL:https://events.asc.ac.at/event/329/
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