The call is designed to serve industry organisations, small to medium enterprises (SMEs), startups, as well as public sector entities, requiring access to supercomputing resources to perform artificial intelligence and data-intensive activities.
Start date: time-to-resources-access of one (1) month after the date of cut-off.
Duration: The allocations are granted for one (1) year.
On Friday, September 27, UDG welcomed Divya Siddarth, one of the 100 most influential young people in the field of artificial intelligence, as chosen by TIME magazine! Divya is a researcher at Microsoft Research, in the Political Economy and Social Technologies (PEST) department, and co-founder of the Collective Intelligence Project. Her work focuses on using technology to create fairer societies, with a particular emphasis on decentralized technologies, artificial intelligence and digital democracy. She was recently recognized as one of the key minds shaping the future of artificial intelligence in the service of the common good! The audience included students, researchers and industry representatives.
At the Revolutionising Agriculture with HPC and AI: Real-World Applications conference, the project, AIMHiGH, was presented, with DigitalSmart as the coordinator. The project, implemented as part of the HPC Fortissimo initiative and funded through the Horizon 2020 FF4EuroHPC program, was titled AI/ML Enabled by HPC for Edge Camera Devices for the Next Generation Hen Farms. Stevan Cakic presented experience with the AIMHiGH project that introduced cutting-edge HPC and AI/ML technologies that significantly impacted the poultry farming sector. One of the key achievements of the project was enabling real-time monitoring and data-driven insights. Farmers gained access to continuous, real-time surveillance of their poultry through edge cameras equipped with AI models. These models could analyze live footage to identify early signs of illness, stress, or abnormal behavior, allowing immediate intervention. This innovation improved animal welfare, minimized losses, and enhanced overall productivity on the farms.
In addition, the project provided an advanced solution for disease detection and prevention. The AI models developed during the project were capable of detecting subtle signs of illness long before they became visible to the human eye. This early detection allowed for more effective prevention and control, reducing the spread of diseases and ultimately leading to lower usage of antibiotics, which had a positive impact on both costs and animal health. Moreover, the project’s technological solutions helped optimize resource usage, particularly in terms of feed and water management. With real-time behavioral and health data from the birds, farmers could adjust feeding schedules and amounts according to actual needs, reducing waste and cutting down on unnecessary resource consumption. This not only reduced environmental impact but also contributed to more efficient and sustainable production practices.
The project’s approach to automating monitoring and decision-making processes also had a transformative effect on production efficiency. By reducing the need for manual supervision, the system allowed farm workers to focus on more critical tasks, leading to higher production outputs while maintaining lower operational costs. A further advantage was the scalability and flexibility of the technology. The use of edge devices allowed these AI models to be easily deployed in various farm setups without requiring expensive infrastructure. This made the technology accessible to both large-scale operations and smaller farms, ensuring that the benefits of AI and HPC could reach a broader segment of the poultry farming industry. Throughout the project, collaboration with key partners played a crucial role. DunavNET contributed its expertise in AI, machine learning, IoT, and software development, while The University of Donja Gorica brought significant HPC expertise through NCC Montenegro and the FoodHub Centre of Excellence. Montenegrin companies Meso-promet Franca and Radinović Company participated actively in the evaluation and piloting phases of the project, ensuring the practical relevance and success of the solutions developed. Overall, the AIMHiGH project was fully aligned with the priorities of Montenegro’s S3 Smart Specialisation Strategy, making significant contributions to technological innovation in the poultry sector, while strengthening the local economy and supporting more sustainable farming practices.
NCC Montenegro is proud to announce its collaboration with DigitalSmart and Recrewty to HPC and AI for advancing HR management in companies. This partnership brings together leading experts in HPC, AI, and HR technology to create innovative solutions tailored for the HR industry. This effort will leverage HPC to develop scalable and efficient AI models that enhance HR processes such as recruitment, psychometric assessments, and decision-making. Recrewty with its ambition to develop AI-driven HR solutions, will focus on integrating machine learning algorithms for improved data processing of HR applications. DigitalSmarta will contribute its expertise in digital transformation and smart technologies to ensure the new model is robust and capable of meeting the demands of modern HR management.
Key outcomes of this collaboration include optimized AI models that can process large HR datasets more effectively using HPC, scalable HR solutions designed to meet the needs of companies, enhanced data processing capabilities to improve decision-making in recruitment and other HR areas, and a local and regional impact through the development of tools tailored for underrepresented languages and markets. This project aligns with NCC Montenegro’s mission to foster technological innovation in the region and highlights the growing importance of HPC and AI in transforming HR management across various industries.
Welcome to “Supercomputing in Europe” podcast from the EuroCC and Centre of Excellence network where we will talk about all things supercomputers.
Listen to stories by guests from all around Europe who talk about their work and give us interesting insights on the role of supercomputers in multiple fields such as life science, machine learning, engineering, data science, quantum computing, and more.
In the first episode, listen to EuroHPC Joint Undertaking (EuroHPC JU) executive director Anders Dam Jensen discuss with communication specialist Apostolos Vasileiadis (ENCCS, RISE Research Institutes of Sweden) about EuroHPC JU and the state of supercomputing in Europe and its future.
In the second episode listen to Marta García-Gasulla and Filippo Mantovani from Barcelona Supercomputing Center discuss with Sally Kiebdaj (Center of Excellence in Exascale CFD, HLRS – High-Performance Computing Center Stuttgart) about the European Processor Initiative and CEEC CoE.
The success stories in the EuroCC 2024 booklet span a diverse range of sectors, including:
IT and Software
Natural Sciences and Aeronautics
Environment, Energy, and Agriculture
Pharmacy and Medicine
Manufacturing and Engineering
Finance and Mobility
Public and Communication
These stories showcase achievements and innovations across multiple industries, highlighting the wide-reaching impact of EuroCC initiatives.
One of the featured success stories highlights the collaboration between NCC Montenegro and the Montenegrin company Fleka, showcased through the project “Personalized Banking Software Solutions.” This partnership shows how local innovation can create custom ML predictions for the banking sector and personalized financial-tech sector.
Discover inspiring success stories that highlight innovative achievements across Europe.
Would you like to explore the transformative power of HPC and Artificial Intelligence in agriculture and learn about real-case application?
Join the webinar “Revolutionising Agriculture with HPC and AI: Real-World Applications on Tuesday, 24 September, 14:00-15:00 CET.
More info & registration ▶ https://www.sling.si/en/news/ncc-sling-webinar-revolutionising-agriculture-with-hpc-and-ai-real-world-applications/
HPC4S3ME team members will participate in the webinar and also present their experiences in developing computer vision solutions for precision farming.