nccmne, Author at HPC Montenegro

19.06.2026.19.06.2026.

NCC Montenegro Team Participated in the “AI Economy” Scientific Event at MASA

Podgorica, 18 June 2026 – Members of the National Competence Centre for HPC in Montenegro – NCC Montenegro participated in the scientific event “AI Economy”, held at the Montenegrin Academy of Sciences and Arts (MASA) and organized by the Department of Social Sciences, through the Committee for Economic Sciences, Demography and Anthropology.

The event brought together representatives of academia, researchers, experts and stakeholders from different sectors to discuss the impact of artificial intelligence on the economy, education, professions, business models, digital transformation, healthcare, cybersecurity and broader societal change.

The participation of the NCC Montenegro team focused on connecting the topic of the AI economy with the challenges and opportunities of small economies, the development of local digital and AI capacities, and the role of education, communication and interdisciplinary skills in the emerging technological environment. A key message was that small economies should not remain only consumers of ready-made AI solutions, but should develop their own knowledge, infrastructure, research capacity and sector-specific expertise in order to actively participate in the AI economy.

The event was also used as an opportunity to feature the activities of NCC Montenegro, the EuroCC3 project, and the possibilities offered by the European HPC ecosystem to researchers, universities, the public sector and industry in Montenegro. In this context, the importance of HPC access was highlighted for the development and testing of AI models, large-scale data processing, advanced analytics, organizational digital transformation and the development of innovative industry-oriented solutions.

The NCC Montenegro team emphasized that the application of AI in the economy is not only a technological issue, but also a matter of human, institutional and infrastructural capacity building. For this reason, NCC Montenegro activities include support for accessing HPC resources, training, consultancy, academia-industry collaboration and awareness raising on how HPC and AI can contribute to business development, research, innovation and the improvement of education.

Participation in this event represents another step in strengthening cooperation between academia, industry and the public sector, particularly in areas where AI, HPC and data-driven approaches can contribute to competitiveness, efficiency and sustainable development in Montenegro.

NCC Montenegro will continue to promote the use of European HPC resources, strengthen local capacities and support organizations in Montenegro interested in developing advanced digital, AI and data-driven solutions.

11.06.2026.11.06.2026.

NCC Montenegro at ICMO 2026 and Special Training Session on HPC/AI for Business Community

The National Competence Centre Montenegro (NCC Montenegro), operating within the EuroCC3 was presented at the ICMO 2026 International Conference on Management and Organization – “Sustainability by Design: Rethinking Strategy, People & Digital Futures”, held in Przno, Montenegro.

The conference brought together more than 300 participants from over 45 countries, with more than 30 keynote, invited, and editorial speakers, and a Scientific Committee comprising researchers from 46 countries, including representatives of all 27 EU member states. ICMO 2026 served as a high-level platform for the exchange of knowledge and experience between researchers, journal editors, doctoral candidates, institutional leaders, and business community representatives.

The EuroCC3 project and the activities of NCC Montenegro were presented by Stevan Čakić, member of the EuroCC3 project team, who outlined the role of the National Competence Centre Montenegro in building the national HPC and AI ecosystem, democratizing access to European supercomputing infrastructure, and supporting SMEs, academia, and public administration in adopting advanced digital technologies.

Special Training Session: HPC/AI for Business Competitiveness

As part of the conference programme, NCC Montenegro organized a dedicated special session and training titled “Exploring HPC/AI and Management: Driving Organizational Competitiveness in the Digital Era”, specifically designed for SMEs and the wider business community.

The training addressed the growing need for small and medium-sized enterprises to leverage advanced digital technologies — including High Performance Computing (HPC), Artificial Intelligence (AI), and Big Data — as strategic tools for enhancing competitiveness, operational efficiency, and data-driven decision-making. Participants were introduced to key concepts and practical applications of HPC and AI in areas such as demand forecasting, financial modelling, predictive analytics, and data-driven business models, as well as the opportunities available through EuroCC3 and the EuroHPC Joint Undertaking, which provides free access to world-class European supercomputing infrastructure and expertise — including to SMEs and startups.

A particular highlight of the training was a real-world research use case titled “How the Institutional HPC Infrastructure Turned 50,647 Policy-Document URLs into a Reproducible Country-Year Research System”, presented by researcher, Bozidar Vlacic, from the and the Católica Porto Business School & CEGE, Universidade Católica Portuguesa and University of Donja Gorica. The use case demonstrated in concrete terms the transformative power of HPC for research and business analytics: using EuroHPC supercomputing infrastructure, the research team processed over 50,000 candidate policy-document URLs, successfully downloading and converting nearly 37,000 PDFs — totalling 92.6 GB of data — into a clean, analysis-ready country-year database spanning 55 countries over the period 2007–2021. A task estimated to take nearly 30 days on a standard laptop was completed in a single overnight cluster run of under 16 hours, compressing time-to-evidence dramatically and making a previously unfeasible large-scale empirical study operationally credible. The resulting research system examined how industrial policy signals in public documents relate to national innovation capability — measured through R&D intensity, scientific publications, and resident patents — delivering directly actionable insights for both policymakers and business analysts.

This use case illustrated to the business community how HPC is not only a tool for science and engineering, but a strategic enabler for data-driven management, policy analysis, and competitive intelligence.

18.05.2026.19.05.2026.

NCC Montenegro and MAIA signed a collaboration agreement to enhance AI innovation and access to HPC

NCC Montenegro and MAIA – Montenegrin AI Association have signed a cooperation agreement to accelerate AI development and high-performance computing adoption in Montenegro. The agreement was signed by doc. dr Sandra Tinaj, a member of the NCC Montenegro team, and Milutim Pavićević, Executive Director of the Montenegrin Association for Artificial Intelligence – MAIA.

Partnership for AI Training, Industry Support, and Institutional Collaboration

MAIA, an NGO founded in September 2022 that connects researchers, engineers and AI enthusiasts, promotes AI, advances digital transformation and fosters collaboration among academia, industry and policymakers. Partnering with NCC Montenegro — the national hub providing access to European supercomputing infrastructure and HPC/AI technical support — the agreement establishes a framework for joint programs that will drive research, innovation and commercialization of AI solutions nationwide.

Looking forward to continuing and expanding the collaboration

The cooperation will concentrate on Training and skills development (delivering trainings, workshops and professional development programs in AI, Service and Interaction with Industry – offering consultancy, knowledge transfer and joint industry projects leveraging HPC and AI resources and Service to and Interaction with Academia and Public Administration – collaborating with universities and public administration to implement AI solutions in education, public services and policy). By leveraging EuroHPC access and parallel computing expertise, the partnership will enable intensive AI-driven workloads, support industry pilot projects, uses – cases and build specialized capacity to help Montenegrin innovations become globally competitive.

26.04.2026.26.04.2026.

EuroCC4SEE Featured at CANU Round Table on AI in Healthcare

The AI-AGE project was presented at the round table “Artificial Intelligence in Healthcare – Challenges and Opportunities”, held on 24 April 2026 at the Montenegrin Academy of Sciences and Arts (CANU) in Podgorica. The event gathered experts from Montenegro and Bosnia and Herzegovina to discuss the role of AI in healthcare, including clinical applications, digital transformation, ethics, medical imaging, NLP, and AI assistants. We used this opportunity to promote the EuroCC4SEE and NCC Monteengro activity.

The round table was an opportunity to promote EuroCC 2 & EuroCC4SEE and NCC Montenegro support

AI-AGE was presented by Prof. Dr Nataša Popović, Faculty of Medicine, University of Montenegro, in the session dedicated to AI in clinical practice. The presentation highlighted key findings of the project and demonstrated how AI can support early detection and screening of chronic diseases, including examples related to colorectal cancer detection and the use of biomarkers.

The main presentation was focused on AI-AGE goals and results (cross-project collaboration)

The event was also an opportunity to promote EuroCC activities and the role of NCC Montenegro in strengthening national capacities in HPC, HPDA, and AI. Participation in this round table further positioned AI-AGE within the broader regional discussion on responsible and clinically relevant use of artificial intelligence in medicine.

22.04.2026.23.04.2026.

IoT Day 2026: IoT, AI and HPC Shaping the Future of Digital Infrastructure

On the occasion of IoT Day 2026, an online seminar titled “IoT, AI, HPC: Shaping the Future” will bring together technologies that are redefining modern digital infrastructure. The event will focus on the practical application of Internet of Things (IoT), Artificial Intelligence (AI) and High-Performance Computing (HPC) in the development of modern digital systems.

During the seminar, experts from DunavNET, DigitalSmart Montenegro, the University of Donja Gorica, and Recrewty will present the projects and solutions they are currently working on, with a special emphasis on real-world applications of these technologies and their importance for digital transformation.

The speakers include: Nebojša Stojanović, Petar Knežević, Dejan Drajić, Anja Jakovljević, Stevan Čakić, Igor Ćulafić, and Mitar Perović.

📅 April 24, 2026
🕙 10:00–11:30 AM
📍 Online seminar
Organized by: EuroCC 2 & EuroCC4SEE, University of Donja Gorica, and DunavNET

The event is open to researchers, engineers, developers, and everyone interested in current trends and practical applications of IoT, AI, and HPC.

Join via Microsoft Teams (open for everyone):
https://events.teams.microsoft.com/event/da701818-2b37-4111-97d8-dc277e81d88a@a3a630ac-fa20-4e00-baab-ceeede9da950

08.04.2026.11.05.2026.

HPC Use Case: Large-Scale Text Analysis of Industrial Policy

Within the EuroCC initiative, this project demonstrates how High Performance Computing (HPC) enables a new approach to analysing industrial policy through large-scale text data.

Modern innovation policies are increasingly embedded in strategies, reports, and policy documents. This project treats those documents as data, transforming them into measurable indicators that can be linked to national innovation performance.

From Raw Data to Analytical Insights -The study started with over 50,000 policy documents and processed more than 36,000 clean texts, resulting in a structured dataset of 825 country-year observations across 55 countries (2007–2021).

Using Natural Language Processing (NLP), the project extracts key policy signals, including:

policy attention (how much a topic is discussed)
policy orientation (whether it is framed positively or negatively)

These signals allow policy discourse to be analyzed quantitatively and linked to innovation outcomes.

HPC infrastructure was essential for executing the full pipeline.

The complete workflow was finished in approximately 16 hours, while the same process on a standard laptop would take several weeks.

This enabled large-scale data processing, rapid iteration of models, and robust cross-country analysis.

The results show that industrial policy does not have a uniform effect on innovation. Instead, its impact depends on both the type of policy and how it is communicated.

Key insights include:

different policy categories influence innovation outcomes differently
scientific publications respond faster than patents or R&D investment
text-based policy signals can serve as early indicators of changes in innovation environments

Impact – This project highlights how HPC enables:

transformation of unstructured text into analytical datasets
integration of policy analysis with economic outcomes
development of new tools for monitoring innovation systems

It also demonstrates the value of policy documents as a strategic data source for researchers, firms, and policymakers.

31.03.2026.06.04.2026.

Successfully Implemented Training on 3D Printing, Generative AI, and HPC

The training on 3D Printing, Generative AI, and High-Performance Computing (HPC) was successfully implemented as planned, bringing together participants interested in emerging digital technologies and their practical application in design and production. Through the training, attendees had the opportunity to explore the fundamentals of 3D printing, digital modelling, and the growing role of generative AI tools in creating and improving 3D models.

There was around 40 people attending the 2-day course

A key message of the training was that generative AI is becoming an important driver of innovation, enabling faster idea generation, automated design support, and new creative workflows. At the same time, such models often require significant computing power for training, fine-tuning, and large-scale inference. This is where HPC plays a crucial role, providing the infrastructure needed to efficiently run advanced AI models and support more complex, data-intensive tasks. By connecting 3D printing, generative AI, and HPC, the training highlighted how these technologies can work together to accelerate innovation in education, research, and industry.