Presentation of the meeting (PDF)
Recording of the event
The programme
AI Services for Researchers
Presentation: u:ai - The University's AI Tool for Researchers
Speaker: Laura Gandlgruber
Building a Strong Data Infrastructure for Researchers
Presentation: DataLife – Data Infrastructure for Life Sciences
Speaker: Thomas Rattei
The research and education in biology, medicine, ecology, pharmacy and other life sciences is increasingly based on the acquisition, analysis and interpretation of large data amounts. Typical examples of these developments are imaging data in tumour diagnostics, real-time microscopy data in molecular biology and DNA sequences in genomics. The project DataLife has established novel powerful infrastructure for data from and around the Vienna Biocenter. The new infrastructure allows the real-time storage of newly generated data on their final storage destination, which is directly available within several High- Performance Computing Platforms, including the Austrian Scientific Computing, Multisite Computer Austria and the Life Science Compute Cluster. This enables the instant analysis of bioanalytical data with computational methods for data reduction, database comparison, statistics and machine learning. The DataLife project also includes the training of users and the public representation of data in high capacity and throughput (Open Science). The 3-years project DataLife will finish recently and was funded by the Austrian Ministry of Education, Science and Research.
Presentation: Science Drives Infrastructure: A Blueprint for Collaborative Innovation
Speaker: Ulrich Kiermayr
MUSICA
Presentation: MUSICA: Orchestrating Austria’s Distributed Supercomputing Power
Speaker: Jan Zabloudil
MUSICA (Multi-Site Computer Austria) integrates high-performance computing resources across Vienna, Linz, and Innsbruck into a unified, high-availability ecosystem. Designed for the Austrian scientific community, this federation provides the scalable power necessary for today’s most demanding simulations and data-intensive research.
This presentation serves as a practical roadmap for scientists and users and will cover key technical specifications and system design, how to apply for resources, how to use federated login, and best practices for moving and managing large datasets across the multi-site network. Join us to learn how to access and leverage MUSICA’s distributed power to accelerate your next scientific breakthrough.
AI Factory Austria
Presentation: University of Vienna – AI Factory Collaboration
Speakers: Laura Pana, Markus Stöhr
This session presents AI Factory Austria (AI:AT) and its collaboration with the University of Vienna, showcasing how the initiative contributes to responsible and competitive AI innovation across academia, industry, and the public sector. The presentation will also introduce the role of the AI Factory Liaison Officer at University of Vienna and provide insights into how researchers at the university can connect with the AI Factory ecosystem, access its infrastructure and training opportunities, and explore collaboration and innovation pathways for AI-driven research.