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Watch the recording of the webinar MATLAB in a Nutshell

Watch the recording of the webinar MATLAB in a Nutshell

If you missed the September webinar MATLAB in a Nutshell you can now watch the full recording. The event introduced MATLAB – a powerful engineering tool and an interactive environment designed for scientific and technical computing, data analysis and processing, visualization, and algorithm development.

The lecturer, Ing. Michal Blaho (HUMUSOFT s.r.o.), guided participants through the basic MATLAB interface, demonstrated its practical capabilities, and explained how this tool can be effectively used to solve various engineering and research tasks. He also introduced Simulink, an extension of MATLAB that enables modeling and simulation of dynamic systems, as well as the design and testing of algorithms using the Model-Based Design approach.

In the second part of the webinar, the lecturer focused on specific application areas of MATLAB and Simulink — from data analysis, signal and image processing, through computer vision and artificial intelligence methods, to the design of control systems and the implementation of algorithms on various target platforms. Participants also learned how MATLAB and Simulink can be used for scaling algorithms and running simulations on powerful HPC clusters, opening up new possibilities for research and innovation.

At the end of the event, an open discussion took place, during which the lecturer answered participants’ questions related to specific solutions, licensing, and the integration of MATLAB into larger computational environments.

NEWS
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.
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All Hands Meeting in Estonia

All Hands Meeting in Estonia

From 23 to 25 September 2025, representatives of the National Competence Centre for HPC, Halyna Hyryavets and Lucia Malíčková, took part in the final conference of the CASTIEL2, EuroCC2, EuroCC4SEE projects and the Centres of Excellence (CoEs), held in Tallinn, Estonia. The event brought together experts, representatives of national centres, and European CoEs to jointly discuss the future of high-performance computing in Europe, the sustainability of activities after the end of EuroHPC JU funding, and the preparation of the next phase of the EuroCC3 and CASTIEL3 initiatives.

The program included expert presentations on the status and progress of the projects, thematic working groups, and two extensive poster sessions where NCC Slovakia showcased its results. The poster highlighted activities in training and skills development in HPC, collaboration with industry and strategic partners, the HPC Ambassador Programme, and community building. We also presented our efforts to foster the adoption of HPC in Slovakia and across Europe, as well as our best practices in communication that enhance visibility and community engagement. The poster session sparked many inspiring discussions and new contacts, opening up opportunities for further collaborations.

In addition, Halyna Hyryavets participated as a speaker in the Pick my brain session  where she presented NCC Slovakia’s successful experience with communication on social media. She focused particularly on the systematic use of LinkedIn and Instagram, which NCC Slovakia strategically employs for different target groups – professionals from industry, academia, and public administration on the one hand, and students and young researchers on the other. Her talk sparked interest in how digital platforms can be effectively used to build visibility and engage the community.

The conference also provided space for working groups focused on communication, training, and industry. These sessions offered opportunities to exchange experiences among partners from across Europe and to discuss how to further develop both national and international HPC ecosystems. Special attention was given to the sustainability of national competence centres after the conclusion of the current projects, with discussions on new forms of collaboration and links to the upcoming EuroCC3 initiative.

The program also included the workshop “Improving communication within a project team”, which provided practical recommendations for more effective communication in project teams and strengthened NCC Slovakia’s ability to apply these insights in everyday practice.

The participation of NCC Slovakia in the final conference in Tallinn significantly contributed to strengthening European cooperation, preparing for the upcoming project phases, and building international ties that will support the development of high-performance computing in Slovakia.


Success-Stories
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.
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MATLAB WORKSHOP: Scaling Algorithms and Simulations Using Parallel Computing 

MATLAB WORKSHOP: Scaling Algorithms and Simulations Using Parallel Computing 

Computationally intensive tasks, processing large volumes of data, and repeated simulation runs are everyday challenges in both science and industry. Modern approaches make it possible to significantly accelerate these processes by leveraging parallel computing and available hardware resources – from multiple CPU cores to GPU acceleration. MATLAB and Simulink offer a wide range of possibilities to efficiently utilize these resources without the need for specialized knowledge of GPU programming or complex HPC solutions.

As part of the upcoming workshop in the MATLAB Parallel Computing Roadshow series, we will demonstrate how algorithms and simulations can be scaled using parallel computing. Participants will gain a practical overview of MATLAB’s capabilities, from code optimization and computation parallelization to accessing remote computing clusters. The workshop will also provide space for questions, discussion, and sharing experiences.

Date: October 28, 2025, 9:00 – 12:00
Venue: Online
Speaker: Michal Blaho

REGISTRATION

Program

  • Code optimization for faster execution
  • Automatic support for parallel computing
  • Parallelization of loops with independent iterations
  • Using GPU for accelerating MATLAB code
  • Parallel execution of simulations in Simulink
  • Working with large-scale data (Big Data)
  • Access to remote HPC environments
  • Discussion and Q&A

Practical information

The workshop is intended for all participants who wish to get hands-on experience with parallel computing in MATLAB and Simulink. Participants will run examples utilizing multiple CPUs and GPUs. We recommend bringing your own laptop and checking in advance the availability of multiple CPUs and a GPU. If your device does not support these options, we will try to provide an alternative solution.

REGISTRATION

Success-Stories
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.
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The computing power of HPC brings new opportunities in the protection of the brown bear 

The computing power of HPC brings new opportunities in the protection of the brown bear 

High-Performance Computing (HPC) is a key technology of the modern era that fundamentally transforms the way complex problems are solved. Supercomputers can process enormous volumes of data and perform billions of calculations per second – tasks that would take ordinary computers months can be completed within hours. As a result, HPC accelerates scientific discoveries, enables simulations ranging from molecular interactions to climate change, and opens the door to the practical use of artificial intelligence. It is a driving force of innovation and competitiveness in medicine, industry, energy, and environmental protection.

It is not just an abstract concept – its benefits can be seen in concrete applications. Thanks to HPC, Slovak researchers trained complex artificial intelligence models on thousands of camera trap images to recognize the brown bear. A process that would normally take weeks was completed by the supercomputer in just a few hours. The result is a success story: the combination of modern technologies with nature conservation, improved human safety, and more efficient scientific work.

Challenge: The brown bear (Ursus arctos) is one of the most iconic yet also controversial species in our nature. In Slovakia, its population is relatively stable, but monitoring its movement and behavior is crucial both for nature conservation and for human safety. Traditional methods such as visual observation or tracking are time-consuming and often inaccurate. Modern camera traps can capture thousands of images from the forest, but evaluating them manually is practically impossible.

Solution: A team of researchers from the Faculty of Natural Sciences and Informatics at UKF in Nitra developed an artificial intelligence system aimed at automatically recognizing whether a bear is present in an image or not. They used convolutional neural networks (CNNs) – the same principle applied, konvolučné neurónové siete (CNN) for example, in facial recognition on mobile phones.

For training the model, they collected:

  • 4 974 images with a bear
  • 656 images without a bear (other animals or empty forest)

The data were provided by the Slovak Hunting Chamber, the National Zoological Garden in Bojnice, and the State Nature Conservancy of the Slovak Republic.

Use of HPC infrastructure: Training artificial intelligence on such data is extremely computationally demanding. It requires repeated processing of thousands of high-resolution images (512×512 px), parameter tuning, and testing of different model architectures.

A regular computer would need weeks for this process. Thanks to the supercomputer and NSCC Slovakia, it was possible to:

  • train the models within a few hours to days
  • compare multiple approaches (ResNet, MobileNet, YOLOv8/v10)
  • analyze the weak points of the model and visualize what it had “learned"

HPC enabled researchers to experiment quickly and efficiently – allowing them to move from a basic model to a methodology applicable in the future.

Results

  • The model learned to recognize the basic features of the bear and achieved high accuracy during training (>90%).
  • In real conditions (night shots, noise, camera movement), however, the accuracy is still insufficient for deployment in the field.

Impact and future: Although the results are not yet perfect, the research shows that artificial intelligence has great potential in nature conservation. In the future, automatic analysis of camera traps could:

  • help monitor the population size and movement of bears
  • reduce the risk of conflicts with humans
  • save researchers hundreds of hours of manual work

The next step is to expand the dataset and use synthetic data – computer-generated images that will enrich the training database. Here too, the supercomputer will be crucial, since generating and processing such data is again highly demanding.

Thanks to the supercomputer, Slovak researchers managed to build the first step towards a system that could, in the future, facilitate the monitoring of the brown bear – a species that is part of Slovakia’s natural environment and cultural heritage.


Success-Stories
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.
Kategórie
General

MATLAB in a Nutshell: System Capabilities in Examples and Applications

Webinar Online Internet Website Web Page Concept
MATLAB in a Nutshell: System Capabilities in Examples and Applications

We invite you to the webinar “MATLAB in a Nutshell" which will introduce the MATLAB environment and its wide range of applications. MATLAB is a powerful engineering tool and an interactive environment designed for scientific and technical computing, data analysis and processing, visualization, and algorithm development. During the seminar, participants will become familiar with the basic MATLAB interface, how it works, and its practical use in solving various tasks. The Simulink extension will also be presented, enabling modeling and simulation of dynamic systems as well as algorithm modeling.

In the second part of the webinar, we will focus on the most common areas of MATLAB and Simulink applications, illustrated through a series of demonstrations. Finally, we will show how MATLAB capabilities can be leveraged for scaling algorithms and running simulations on powerful HPC clusters. The event is intended for a broad professional audience – participants from both academia and industry. No programming skills are required.

Title: MATLAB in a Nutshell: System Capabilities in Examples and Applications
Lector: Ing. Michal Blaho (HUMUSOFT s.r.o)
Date: 23. september 2025 (9:00 – 11:00)
Format: Online
Language: Slovak

Program:

  • MATLAB – Computational Environment
    • Creating Interactive Documents in the Live Editor Tool
    • Computations, Data Analysis, Visualization
  • Simulink – System Modeling and Simulation, Model-Based Design
    • Modeling of Physical Systems
    • Algorithm Modeling
  • Application of MATLAB and Simulink in Various Domains
    • Data Analysis and Data Science
    • Signal Processing
    • Image Processing, Computer Vision
    • AI and Deep Learning
    • Control System Design
    • Implementation of Algorithms on Target Platforms

At the end, there will be room for discussion and participants’ questions.

REGISTRATION

NEWS
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.
Kategórie
General

How to Communicate Science and Technology Effectively: Our Team’s Experience

How to Communicate Science and Technology Effectively: Our Team’s Experience

Our team has long been dedicated not only to the development of high-performance computing, but also to the effective communication of the results and opportunities we bring to industry, academia, and the next generation of researchers. We consider this a key part of our work – a modern scientific and technological institution today cannot operate in isolation but must be able to clearly and transparently communicate the value and impact of its activities.

That is why we decided to transform our experience into a Best Practice for social media communication tailored to the IT and scientific environment. This document and set of recommendations were developed on the basis of long-term testing of specific approaches in practice and are grounded in tangible, proven results.

Challenges and Communication Needs

When developing our communication strategy, we faced a fundamental challenge: how to effectively and purposefully reach two distinct target groups, each with different expectations regarding content and with different ways of engaging.

On one side, there were professionals from industry, academia, and public administration – individuals with an expert background who are seeking concrete opportunities for collaboration, specialized know-how, and new technological solutions. For this group, credibility, professional authority, and a consistent presence in a professional environment are essential.

On the other side, we needed to reach students, PhD candidates, and young researchers who are interested in new learning opportunities, access to modern technologies, and prospects for careers in science and industry. This group is primarily active on visual and fast-paced platforms, where attractiveness of form, dynamism, and visual style of content play a decisive role.

It became clear that relying solely on NCC Slovakia’s official communication channels would keep our organic reach limited. We therefore needed to find a new way to combine professional communication with an attractive approach tailored to younger audiences.

Our Solution: LinkedIn and Instagram in Complementary Roles

The most effective solution proved to be the systematic use of LinkedIn and Instagram. Each of these platforms has a specific role and addresses a different target audience.

LinkedIn we used it as the primary channel for communication with the professional community. The key breakthrough was that we did not limit ourselves to the official NCC Slovakia page. We also engaged the personal profiles of our employees, HPC ambassadors, and management. They shared posts, tagged the official profile, and created their own content that naturally referred back to our activities. This approach significantly increased the credibility of the content, as it was not spread solely through an institutional channel but also via individuals with professional reputation. The result was not only greater reach, but also more interactions, shares, and organic growth in the number of followers.

Instagram proved to be an ideal platform for communication with students and young researchers. We focused on visually engaging content – posts, stories, and reels – that promoted our courses, workshops, and events. Collaboration with university faculties and student organizations also proved effective. With their consent, we tagged them in our posts, which these institutions then shared further. In this way, our invitations to free courses reached students directly, leading to the quick filling of capacities for several training sessions.

Concrete Results

Our Best Practice delivered measurable results. Within just a few months, we recorded a significant increase in both reach and engagement:

  • LinkedIn The number of followers grew organically from 500 to 593 between January and July 2025, providing clear evidence of the effective engagement of personal profiles and consistent activity.
  • Instagram Regular campaigns ahead of courses and events proved to be key for registrations – analytics confirmed that the highest number of click-throughs to registration links came directly from Instagram.
  • Combination of Both Channels made it possible to specifically reach both professionals and younger audiences and to turn increased awareness into actual participation in our activities.
Why This Approach Is Successful

Our recommendations show that effective communication in the IT and scientific sphere does not require large financial investments. What is essential are primarily an understanding of social media algorithms, the ability to tailor content to the target audience, and the willingness to involve people from within the organization in communication. Thanks to this approach, we were able to increase credibility, reach, and engagement without incurring additional costs.

Conclusion

Our Best Practice demonstrates that systematic and well-thought-out communication on social media can be a key tool for institutions in the fields of IT and science. It not only helps build a brand and raise awareness of activities, but also directly contributes to achieving concrete goals – whether by increasing participation in courses, supporting young researchers, or strengthening collaboration with industry and academia.

Our ambition is to further develop this approach and share it with partners both at home and abroad. We believe that these experiences can also be valuable for other institutions seeking ways to communicate effectively in the digital space while strengthening their professional reputation and societal impact.

We are pleased to note that, based on the document prepared within the EuroCC2 project, we have been invited by the Project Management Team to present our experience at the international all-project conference to be held in Tallinn in September.

We see this as a recognition of our work to date, which at the same time confirms the importance of Slovak expertise in the European context. For us, it is a clear signal that long-term systematic efforts, the building of know-how, and strong links with the international community are delivering results. It also confirms that Slovakia is capable of providing valuable solutions in the fields of HPC and artificial intelligence, while actively contributing to Europe’s common goals in digitalisation, innovation, and technological sovereignty.

We also see this recognition as a commitment – to continue strengthening our expertise, expanding services for industry and academia, and reinforcing international ties that help Slovakia consolidate its position within the European HPC ecosystem.

Best PRACTICE

NEWS
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.
Kategórie
General

HPC and MATLAB: A Strong Partnership for Accessible Supercomputing

HPC and MATLAB: A Strong Partnership for Accessible Supercomputing

Last week, an interesting working meeting took place where Lucia Malíčková, representing the National Supercomputing Centre and the National Competence Centre for HPC, met with Martin Foltín from HUMUSOFT s.r.o., the official distributor of MathWorks. The aim of the discussion was to explore new opportunities to bring the computing power of supercomputers closer to a wider range of users.
The public often associates High-Performance Computing (HPC) with complex programming and sophisticated processes reserved only for a narrow circle of experts. This can create a barrier and the perception that the world of supercomputers is out of reach for ordinary users. The reality, however, is different. Modern tools make it possible to open up supercomputing to those without a technical background. One such tool is MATLAB, which provides an intuitive and user-friendly environment. When combined with the power of a supercomputer, it becomes an extremely powerful instrument that virtually anyone can use. At the meeting, we therefore agreed to launch a series of workshops focused on specific application areas. These will demonstrate how HPC can support the development of medicine – from assisting students and doctors to supporting researchers and medical device manufacturers. Equally great potential lies in the field of finance, where high-performance computing can be applied to modelling and forecasting. Other promising areas include robotics, engineering, industrial production, and many more sectors that can gain a competitive advantage through faster and more accurate data processing.

The series of workshops aims to dispel the long-standing myths surrounding supercomputers. Instead of complex coding and complicated procedures, participants will work with an environment that is natural and easy to use. This will open the door to adopting HPC not only within the expert community but also among the wider public.

The partnership between the National Supercomputing Centre, the National Competence Centre for HPC, HUMUSOFT, and MathWorks represents an important step towards simplifying access to high-performance computing. It brings together strong partners with a clear vision: to bring supercomputers closer to people and to demonstrate that their potential can be harnessed even in areas where it would not have been expected just a short time ago.

NEWS
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.
Kategórie
General

Webinar: How a Large Language Model is Created for a Low-Resource Language

Webinar: How a Large Language Model is Created for a Low-Resource Language

We invite you to join our next expert webinar, which will focus on advances in artificial intelligence for the Slovenian language. The event will take place online in mid-September and will offer a unique opportunity to look behind the scenes of developing a large language model tailored for a low-resource language. The speaker will be Domen Vreš from the Faculty of Computer and Information Science, University of Ljubljana, who has long been engaged in research in the fields of natural language processing and artificial intelligence.

Speaker: Domen Vreš
Affiliation: Faculty of Computer and Information Science, University of Ljubljana
Title of the lecture: Advances in Artificial Intelligence for the Slovenian Language: Training and Scaling the GaMS Large Language Model
Format: Online
Date and Time: 17 September 2025 at 10:00 CEST

About webinar
This webinar will provide an in-depth look at the development of GaMS, a large language model (LLM) tailored for the Slovenian language. We will begin by exploring the general principles of LLM training and explain why this process requires substantial computational resources and data. Participants will learn about the entire workflow, from data preparation through training to model performance evaluation.

We will then focus on scaling LLM training on EuroHPC infrastructure, specifically on the Leonardo supercomputer. This step made it possible to achieve higher performance and quality of the model. Domen Vreš will also share insights into the technical and organisational aspects of collaborating on such a project.

Finally, we will delve into the specific challenges of developing an LLM for a low-resource language such as Slovenian. What makes this process more demanding? How can the limitations of available data be overcome? And what creative solutions did the team apply in the GaMS model?

A dedicated part of the webinar will address the challenges of evaluating LLMs in low-resource environments, where established benchmarks and comprehensive evaluation datasets are often lacking. The speaker will explain how this gap can be bridged through the collection and integration of human feedback, and how such data is used to further improve and fine-tune the model.

Target audience:
The webinar is suitable for artificial intelligence professionals, researchers in natural language processing, as well as students, technology enthusiasts, and anyone interested in the development and applications of large language models in minority languages.

Whether you are an AI expert or simply seeking inspiration, this webinar offers a clear and engaging insight into the groundbreaking work behind the GaMS model and its significance for the future of Slovenian language processing.
Don’t miss the opportunity to participate and gain valuable insights directly from an expert at the University of Ljubljana.

REGISTRATION

NEWS
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.
Kategórie
General

Call for Business Experiments – Support for SMEs in the Implementation of HPC Solutions

Call for Business Experiments – Support for SMEs in the Implementation of HPC Solutions

We draw your attention to the second open call under the FFplus project, which focuses on supporting small and medium-sized enterprises (SMEs) in addressing specific business challenges through High Performance Computing (HPC). The aim of the call is to carry out so-called “business experiments” designed to demonstrate that the use of HPC technologies can solve real-world problems and have a positive impact on business.

These experiments should demonstrate the benefits of HPC for the broader SME ecosystem in Europe and showcase concrete success stories that can inspire other businesses to adopt advanced computational technologies. The call is particularly suitable for companies that have not yet had experience with HPC but are facing a technical or business challenge that could be addressed through the use of HPC.

Key Information about the Call:

  • Proposal submission deadline: August 26, 2025 at 17:00 (Brussels time)
  • Expected duration of experiments: maximum 15 months, planned start date: January 1, 2026
  • Total call budget: €4 million
  • Proposal language: English
  • Submission method: exclusively electronic, in accordance with the requirements set out in the document. Announcement and Proposer’s Guide

The call is open to SMEs from countries associated with the Digital Europe Programme. Please note that the eligibility condition was updated on July 18, 2025 – the decisive factor for determining eligibility is the status of a country’s association as of the call deadline (August 26, 2025).

Key points to address in the proposal:

  • Identify the business challenge and describe how HPC can address it.
  • Present the expected benefits and positive impact on the business.
  • Define the specific objectives, partners, and resources required for the implementation of the experiment.
  • Address data protection aspects, budget, and implementation plan.
  • Commit to creating a case study on the impacts of the experiment.

Each proposal must be prepared in accordance with the structure outlined in the Proposer’s Guide. The use of the official proposal templates (Part A and Part B) is mandatory.

Are you interested in participating but not sure where to start?
Do not hesitate to contact us. We will be happy to provide you with a consultation on the call, help you understand the conditions, verify the eligibility of your project, and connect you with suitable partners or research institutions. We can also assist you in preparing your proposal and provide feedback on its quality before submission.

Our ambition is to support Slovak SMEs in entering the digital space and help them fully leverage the potential of HPC. Working with us can simplify the entire process and increase your chances of success in the call.

Contact us and take part in an initiative that can significantly advance your business.

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When Technology Meets Inclusion: A Vision for a Fair Society

When Technology Meets Inclusion: A Vision for a Fair Society

In recent days, an inspiring meeting took place between Lucia Maličková, project manager at the National Supercomputing Center and the National Competence Centre for High-Performance Computing (HPC), and Ján Bihari, visionary, founder of Tibi Digital, and thought leader in the field of Roma community digitalization.

Ján Bihari a Lucia Malíčková

The meeting was marked by themes of inclusion, openness, and a shared vision of a digital future that leaves no one behind.In the beginning was the Word. And if the future is to belong to everyone, it too must begin with the Word,”echoed during the conversations that went beyond the realm of technology and touched upon the very essence of what a 21st-century society should look like.

Lucia Maličková has long worked at the intersection of technological innovation and societal benefit. In her role at the National Competence Centre for HPC, she focuses on connecting Slovak research institutions, companies, and the public sector with the opportunities offered by supercomputing and artificial intelligence. Her goal is to ensure that high-performance computing is not the privilege of a narrow group of experts, but a tool that serves people – in science, industry, and social innovation.

Ján Bihari, founder of Tibi Digital, is a long-standing activist and expert in bridging the digital divide. With passion and dedication, he develops educational and technological tools aimed at the Roma community – particularly through language, gaming, and artificial intelligence. In his projects, he collaborates with Roma user experience testers, connecting cutting-edge development with authentic life experiences and real community needs.

Together, they explored ways to connect high-performance computing, artificial intelligence, and digital inclusion. Their discussions focused on the possibilities of creating inclusive digital tools that could serve marginalized communities – not merely as a form of assistance, but as a genuine means of empowerment and participation in the digital economy.

Their shared vision is rooted in the belief that technological progress must go hand in hand with social responsibility. Both Maličková and Bihari see meaning in connecting technology with real human stories – in places where artificial intelligence and supercomputing can help bridge divides, level the playing field, and turn prejudice into opportunity.

Bihari’s approach is grounded in a deep belief that technology holds the potential to bring about equality – if harnessed correctly. He develops applications that respond to demographic challenges, such as population aging, while simultaneously creating opportunities for Roma women in the field of caregiving.

Lucia Maličková praised his work as clear evidence that innovation can—and must—be inclusive if it is to have a real and lasting impact.

“We look forward to future collaboration. Because technological progress only truly matters when it is accessible to everyone – and when it transforms lives for the better. Inclusion is not just a goal; it is a fundamental prerequisite for a just society.“

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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.
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