Data, Theology and HPC: A Collaboration Seeking Paths to Understanding
Continuing our collaboration with the Faculty of Theology at Trnava University! The National Supercomputing Centre (NSCC) and the National Competence Centre for HPC will continue their collaboration with the Faculty of Theology at Trnava University in 2025. Following a successful joint study that demonstrated the potential of artificial intelligence and high-performance computing in the analysis of religious texts, representatives of both institutions met again to identify new areas and opportunities for future joint projects.
The current collaboration focuses on leveraging high-performance computing to analyze texts that shape social and cultural discourse. The aim is to uncover patterns of thought within various religious and societal groups and to explore pathways toward mutual understanding.
Thanks to the capabilities of large language models, we are able to simulate scenarios of social reconciliation. Starting this autumn, students of the Religious and Cultural Mediation program will also actively participate in the research, working directly with the data and learning to interpret its societal impact.
Lucia Malíčková, Milan Urbančok, and Jozef Žuffa recently met at the faculty to discuss opportunities for connecting big data analysis with socio-theological research. This continues our collaboration aimed at gaining deeper insights into phenomena that create tension in today’s society — from questions of identity, the relationship between spirituality and secularism, through migration and ecology, to the issue of truth and disinformation.
The outcome will be interdisciplinary results that aim to enrich not only academic discourse but also broader societal dialogue. In this context, artificial intelligence becomes a tool for understanding — analyzing the language, discourses, and meaning frameworks of different groups, and helping to uncover new ways to foster meaningful social conversations.
In this way, we are cultivating a space where theological reflection, social engagement, and technological innovation meet — all in the service of easing tensions and seeking shared solutions.
BeeGFS in Practice — Parallel File Systems for HPC, AI and Data-Intensive Workloads 6 Feb - This webinar introduces BeeGFS, a leading parallel file system designed to support demanding HPC, AI, and data-intensive workloads. Experts from ThinkParQ will explain how parallel file systems work, how BeeGFS is architected, and how it is used in practice across academic, research, and industrial environments.
When a production line knows what will happen in 10 minutes 5 Feb - Every disruption on a production line creates stress. Machines stop, people wait, production slows down, and decisions must be made under pressure. In the food industry—especially in the production of filled pasta products, where the process follows a strictly sequential set of technological steps—one unexpected issue at the end of the line can bring the entire production flow to a halt. But what if the production line could warn in advance that a problem will occur in a few minutes? Or help decide, already during a shift, whether it still makes sense to plan packaging later the same day? These were exactly the questions that stood at the beginning of a research collaboration that brought together industrial data, artificial intelligence, and supercomputing power.
Who Owns AI Inside an Organisation? — Operational Responsibility 5 Feb - This webinar focuses on how organisations can define clear operational responsibility and ownership of AI systems in a proportionate and workable way. Drawing on hands-on experience in data protection, AI governance, and compliance, Petra Fernandes will explore governance approaches that work in practice for both SMEs and larger organisations. The session will highlight internal processes that help organisations stay in control of their AI systems over time, without creating unnecessary administrative burden.