Researchers from EuroCC Montenegro participated in the Montenegrin Machine Learning Workshop, a one-day event aimed at popularizing topics related to Machine Learning (ML) and Artificial Intelligence (AI) among students, researchers, and practitioners. The workshop was organized in cooperation with the Montenegrin Artificial Intelligence Association (MAIA) as a satellite event to the EEML summer school. Participants attended lectures covering deep learning and its applications in earth observation, graph neural networks, power grids, biology and genomics.
During the poster session, visitors had the opportunity to learn more about the EuroCC project and its efforts to promote AI and HPC research in Montenegro.
The Institute of Hydrometeorology and Seismology of Montenegro successfully secured HPC access from the EuroHPC JU Development Call for their project titled: “HPC Development for Very-High-Resolution Atmospheric Reanalysis Using a Nonhydrostatic Mesoscale Model over Montenegro (1995–2024)”. The project aims to enhance mesoscale weather modeling capabilities using the WRF-NMM (Nonhydrostatic Mesoscale Model) and to investigate the scalability and performance of nonhydrostatic dynamic cores on state-of-the-art high-performance computing (HPC) architectures.
Through this initiative, the project was granted 4,000 node hours on the LUMI-C partition for a period of six months. The National Competence Centre (NCC) Montenegro provided support throughout the project application process.
Representatives of NALED and Philip Morris International visited UDG, NCC Montenegro, and CoE FoodHub
Representatives of NALED (National Alliance for Local Economic Development), Serbia, and Philip Morris International visited the University of Donja Gorica, where they presented their leading projects — StarTech, Empower Innovation, and particularly PMInnovia — aimed at connecting science and industry, promoting the concept of open innovation, and supporting researchers and innovators in developing ideas to improve products, processes, and the competitiveness of the economy.
During the visit, the representatives of NALED and PMI were introduced to the research and project activities of UDG, the National Competence Center for Supercomputing (NCC Montenegro), and the Center of Excellence for Digitalization of Food Safety Risk Assessment and Precision Certification of Food Product Authenticity (CoE FoodHub), particularly in the areas of HPC and AI technology applications and support for digital innovations in smart agriculture, personalized medicine, monitoring the authenticity of Montenegrin food products, and bioinformatics for genomic profiling.
The delegation also toured the Virtual Reality (VR) and 3D Printing Laboratory, where student projects showcasing the connection between technology, robotics, research creativity, and industrial relevance were presented. They also visited the Food Safety and Quality Laboratory, where modern methods and equipment for physico-chemical and microbiological analyses were demonstrated, as well as the Entrepreneurial Nest, where they learned about business initiatives supporting innovation and students, such as UDG’s StartUp program and the Entrepreneurial Ideas Exchange.
The professional discussion focused on mapping regional expertise, biotechnological innovations, and exploring potential collaboration within interdisciplinary teams sharing a common vision of advancing the innovation ecosystem and the economic development of the region.
On 24 October 2025, NCC Montenegro held an initial meeting with Telekom Montenegro to discuss potential cooperation opportunities in the field of AI-driven innovation and HPC resource utilisation within the scope of ICT networks and services.
The meeting marked an important step towards strengthening the link between advanced computing infrastructure and AI innovation across the industry’s diversified portfolio. Discussions focused on identifying potential use-case scenarios where HPC and AI technologies could enhance network optimisation, predictive maintenance, and customer experience through diagnostic and predictive data analytics and advanced AI modelling.
Representatives of Telekom Montenegro expressed strong interest in exploring how NCC Montenegro could support experimentation, testing, and capacity-building initiatives. Both parties agreed to continue with technical consultations and support activities based on international benchmarks and the adaptation of successful Telco use cases and best practices to local needs, particularly in the areas of network efficiency and advanced customer analytics.
This collaboration aligns with the mission of NCC Montenegro to accelerate the adoption of HPC and AI technologies across large enterprises and strategic national industries.
Podgorica, 23.10.2025 – NCC Montenegro held a follow-up meeting with representatives of Tara Resources, and the Institute of Hydrometeorology and Seismology of Montenegro (IHMS), to discuss project cooperation in the field of precise weather forecasting and smart energy solutions based on WRF model simulations and HPC capacities. This meeting built upon the initial consultations held on 9 October 2025 with Tara Montenegro, where opportunities for applying high-performance computing to energy optimisation in connection with precision weather forecasting were first explored.
The discussion highlighted the cross-industry potential of supercomputing technologies to improve regional weather prediction accuracy, enable data-driven planning for microclimate patterns, and support renewable energy management. Representatives of Tara Montenegro and IHMS expressed strong interest in continuing cooperation with NCC Montenegro through joint R&D activities connecting scientific expertise, industrial application, and HPC infrastructure.
It was agreed to proceed with technical consultations and project scoping under the EuroCC4SEE framework to further advance HPC-enabled cross-industry innovation in meteorology and smart energy.
At the 14th Conference on Economics “Montenegro 2025”, organized by the Chamber of Economy of Montenegro in Budva, the services, activities, and results of the EUROCC / NCC Montenegro project were presented. This year’s conference, themed “Regional Economies Facing Today’s Challenges”, gathered over 400 participants from Montenegro, the region, and the European Union — representatives of business, institutions, and academia.
During the panel “Digital Transformation – Where Are We and Where Do We Need to Be”, the EUROCC / NCC Montenegro project was introduced in detail as an initiative that actively supports digital transformation and the development of innovation capacities in Montenegro through a network of services and expertise in High-Performance Computing (HPC), Artificial Intelligence (AI), and Data Analytics.
The panel opened an important discussion on Montenegro’s current position on the path of digital development and the key steps needed to build a modern, connected, and technologically advanced society. Special emphasis was placed on the role of NCC Montenegro in strengthening cooperation between academia, industry, and the public sector, and in building a sustainable digital ecosystem.
The discussion was complemented by a video presentation showcasing EUROCC / NCC Montenegro’s activities, results, and available services for researchers, institutions, and the business community.
The participation of NCC Montenegro at the conference reaffirmed its strategic role in connecting research, education, and industry, and in fostering digital and innovation competitiveness in Montenegro.
DeepMark, a start-up company working on development of invisible and permanent digital marks (watermarks) that can be embedded in images, audio, and video content without compromising quality has made successful application to EuroHPC JU Development call, thus gaining 4500 node hours to Leonardo Booster partition for a period of one year. NCC Montenegro supported this project application.
Provenance for synthetic media remains unsolved: most watermarks fail after routine processing, and especially under modern AI transforms. DeepMark advance a learning-based system that co-trains a neural embedder and detector through a differentiable signal chain that mimics real pipelines. Goals of the project are: (i) lower bit-error rates at equal perceptual quality; (ii) patchable watermarking so future embedders remain detectable by a single detector; and (iii) calibrated, segment-level detection for forensics and compliance. Access to A100 nodes and a parallel file system is required to tune multi-GPU scaling and remove I/O bottlenecks.
