Multimodal AI for Technical Documents in Product Development

Date: 19 November 2026, 13:00 – 16:00Price: Free (for eligible participants)Format: AI:AT Webinar, ONLINE (Zoom)Target audience: Industry, public admin, academiaLanguage: EnglishOrganizer: AI:ATProduct development runs on technical documents. This hands-on course shows how AI can read and interpret them, from established techniques to today's multimodal models that handle the visual and textual content these documents combine.After this course, you are able toUnderstand how AI can make the knowledge in technical documents accessible, from established techniques to multimodal models.Explain how multimodal models differ from text-only language models and the key ideas that make them work.Apply a multimodal model to interpret a technical drawing and to extract information from a specifications document.Assess where these approaches add value in product-development workflows and recognize their limitations.Target audienceEveryone is welcome who wants to gain a deeper understanding of how AI can read and interpret technical documents and drawings in product developmentThis 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 & prerequisitesBasic familiarity with machine learning concepts is helpful but not required. For the hands-on parts, basic Python programming is recommended.Agenda12:45: Zoom Meeting Opens  13:00: Welcome, Motivation & Introduction  13:15: Understanding documents and drawings with AIEstablished methods for analyzing documentsStrengths and limitationsShort hands-on/demonstration13:45: Multimodal AIHow multimodal models differ from text-only language modelsKey concepts and capabilitiesFrom established methods to multimodal understanding14:15: Break  14:30: Hands-on lab: document and drawing analysis with a multimodal modelInterpreting a technical drawingExtracting information15:45: Showcase & discussion: Use Cases and limitations in product development  16:00 End of courseSpeakerSebastian Kreuter (Fraunhofer Austria)                 Sebastian Kreuter is a project manager at Fraunhofer Austria in the Intelligent Maintenance and Product Development group. He develops AI-based methods to make knowledge from texts, drawings, and other data sources accessible and usable for industrial practice. He combines recommender systems, knowledge graphs, OCR, and multimodal models to make product-development and after-sales processes more efficient and to deliberately reuse existing know-how.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/332/