BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:Multimodal AI for Technical Documents in Product Development
DTSTART:20261119T120000Z
DTEND:20261119T150000Z
DTSTAMP:20261102T110600Z
UID:indico-event-332@events.asc.ac.at
CONTACT:training@ai-at.eu
DESCRIPTION:Date: 19 November 2026\, 13:00 – 16:00Price: Free (for eli
 gible participants)Format: AI:AT Webinar\, ONLINE (Zoom)Target audience:
  Industry\, public admin\, academiaLanguage: EnglishOrganizer: AI:ATPro
 duct development runs on technical documents. This hands-on course shows h
 ow AI can read and interpret them\, from established techniques to today's
  multimodal models that handle the visual and textual content these docume
 nts combine.After this course\, you are able toUnderstand how AI can make 
 the knowledge in technical documents accessible\, from established techniq
 ues to multimodal models.Explain how multimodal models differ from text-on
 ly language models and the key ideas that make them work.Apply a multimoda
 l model to interpret a technical drawing and to extract information from a
  specifications document.Assess where these approaches add value in produc
 t-development workflows and recognize their limitations.Target audienceEve
 ryone is welcome who wants to gain a deeper understanding of how AI can re
 ad and interpret technical documents and drawings in product developmentTh
 is webinar is open and free of charge for all participants from academia\,
  industry\, and public administration from EU and/or EuroHPC JU member cou
 ntries.Entry level & prerequisitesBasic familiarity with machine learning 
 concepts is helpful but not required. For the hands-on parts\, basic Pytho
 n programming is recommended.Agenda12:45: Zoom Meeting Opens  13:00: Wel
 come\, Motivation & Introduction  13:15: Understanding documents and dra
 wings with AIEstablished methods for analyzing documentsStrengths and limi
 tationsShort hands-on/demonstration13:45: Multimodal AIHow multimodal mode
 ls differ from text-only language modelsKey concepts and capabilitiesFrom 
 established methods to multimodal understanding14:15: Break  14:30: Hand
 s-on lab: document and drawing analysis with a multimodal modelInterpretin
 g a technical drawingExtracting information15:45: Showcase & discussion: U
 se Cases and limitations in product development  16:00 End of courseSpea
 kerSebastian Kreuter (Fraunhofer Austria)                
  Sebastian Kreuter is a project manager at Fraunhofer Austria in the Inte
 lligent Maintenance and Product Development group. He develops AI-based me
 thods to make knowledge from texts\, drawings\, and other data sources acc
 essible and usable for industrial practice. He combines recommender system
 s\, knowledge graphs\, OCR\, and multimodal models to make product-develop
 ment and after-sales processes more efficient and to deliberately reuse ex
 isting know-how.RegistrationRegistration is required\, the link to the reg
 istration form can be found on the top of this page in the menu on the lef
 t. 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 y
 our Spam/Junk folders). We will also send 1–2 reminders before the webin
 ar.Please do not hesitate to contact us at training@ai-at.eu if you have a
 ny questions.Modification\, withdrawal & no-show policyYour registration i
 s 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").Alternativel
 y\, or after the registration form has been closed\, please inform us abou
 t your cancelation or any change in your registration data (especially you
 r mobile-phone number) via email (training@ai-at.eu).No-show policy: If yo
 u do not cancel and do not show up at the course you will be blacklisted a
 nd excluded from future training events.OrganizersThis webinar is organize
 d by AI Factory Austria AI:AT.AcknowledgementsAI Factory Austria AI:AT has
  received funding from the European High-Performance Computing Joint Under
 taking (JU) under grant agreement No 101253078. The JU receives support fr
 om the Horizon Europe Programm of the European Union and Austria (BMIMI / 
 FFG).\n\nhttps://events.asc.ac.at/event/332/
LOCATION:Zoom (ONLINE)
URL:https://events.asc.ac.at/event/332/
END:VEVENT
END:VCALENDAR