| Date: | 29 October 2025, 14:00 – 16:00 (CET) | Price: | Free (for eligible participants) | |
| Format: | AI:AT Webinar, ONLINE (Zoom) | Target audience: | Academia, industry, public admin | |
| Language: | English | Organizers: | AI:AT & ASC & MathWorks |
Artificial intelligence (AI) is driving new methodologies in research and industry, with data-driven workflows increasingly dependent on scalable computational resources. Efficient deployment of these approaches demands access to robust high-performance computing (HPC) infrastructure.
This webinar examines the integration of AI workflows and HPC within Austrian universities, industry, and startups. Specialists from MathWorks, Austrian Scientific Computing (ASC), and industry will present on computational modelling strategies, startup resource pathways, utilization of ASC’s clusters, and reduced order modelling for computational efficiency.
Attendees will engage with concrete case studies illustrating AI and HPC in applied research, review current techniques in model reduction and simulation, and connect with technical peers from academia and industry to address shared computational challenges.
Highlights
- Access to HPC resources: Leverage ASC’s clusters for AI research
- Real-world applications: Learn how AI changes development processes
- Hands-on demo: Speed up modelling & simulation with AI workflows
- Q & A: Ask our experts
Who Should Attend
All welcome: Researchers, engineers, and advanced students working in simulation, data analysis, AI, or computational science. This event is intended for academics seeking direct information on tool access, computational resources, and workflow optimization in research and industry contexts.
This webinar is open and free of charge for participants from academia, industry, and public administration from EU and/or EuroHPC JU member countries.
Agenda & Speakers
14:00 MATLAB & Simulink for Austria
Bettina Lindner (Academia Team, MathWorks)
14:20 Accelerating AI Workflows with High-Performance Computing:
Available Resources in Austria & Europe
DI Dr. Claudia Blaas-Schenner (ASC & AI:AT – AI Factory Austria)
14:40 Application Methods in the Industrial Environment with Practical Examples
DI Sandra Schober (R & D Engineer, Linz Center of Mechatronics (LCM))
15:00 Break
15:10 Methods and Applications of Reduced Order Modelling in Simulation and Control
DI Dr. Andreas Ravazzolo-Mehrle (Academia Team, MathWorks)
15:40 Q & A
Product Focus
Language
English
Date, Time, and Location
29.10.2025, 14:00 – 16:00 (CET), LIVE ONLINE WEBINAR (using Zoom)
Registration
Registration 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 a reminder before the webinar.
Please do not hesitate to contact us at training@asc.ac.at if you have any questions.
Organizers
This webinar is jointly organized by AI:AT – AI Factory Austria, ASC – Austrian Scientific Computing (aka ASC Research Center, TU Wien), and MathWorks.
Acknowledgements
AI:AT – AI Factory Austria 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).
