Sanja Nikolic, representative of HPC NCC Montenegro participated at 3rdEUROCC/CASTIEL global conference, organized with an aim of presenting of main results, key achievements and NCCs successful deliverables within EuroCC1 project phase.
EUROCC/CASTIEL representatives presented key highlights of EUROCC 1 project management with regard to Competence Map building; Training/Mentoring /Twinning activities; Industrial interaction support and Awareness Creation events and actions.
In the second part of the conference NCCs Finland, Luxembourg, Montenegro, Slovenia, Sweden and Turkey presented key achievements and EUROCC1 contributions in their respective working packages and selected project activities. NCC Montenegro presented multiple activities and overall results in the project segment related to HPC/HPDA/AI Trainings and Skills development.
A hosting agreement has been signed between the EuroHPC Joint Undertaking and the National Infrastructures for Research and Technology (GRNET) in Greece where DAEDALUS, a new EuroHPC supercomputer will be located. University of Donja Gorica is one of the partners in the implementation of the project.
Once procured, DAEDALUS will be a mid-range supercomputer, able to perform more than 30 petaflops or 30 million billion calculations per second. This new supercomputer will be managed and operated by GRNET, the National Infrastructures for Research and Technology in Greece. DAEDALUS will be installed in the historical 19th century Electric Power Station building in Lavrion Technological and Cultural Park and is expected to have an overall surface area of 1500 m2.
The supercomputer will power new applications in a wide range of areas, such as engineering, chemistry, health sciences and will be used to visualise and solve scientific problems. It will advance science and boost the innovation potential of enterprises while improving the European citizens’ quality of life.
DAEDALUS, at a total acquisition cost of EUR 33 million, will be co-funded with a maximum total budget of up to EUR 10 million by the EuroHPC JU (35%) and Greece (65% of national funds). Cyprus, Montenegro and North Macedonia are also involved in the project as members of the DAEDALUS consortium. This partnership is strategic for the European Union as it will support science and technology in the wider area of South-East Europe.
DAEDALUS Partners:
GRNET – National Infrastructures for Research and Technology, Greece Owner, operator, manager, coordinator
The Cyprus Institute, Cyprus: Participation in high-level support team
University of Donja Gorica, Montenegro: Participation in high-level support team
Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje Participation in high-level support team
Researchers from UDG and NCC Montenegro presented a scientific paper at the 2022 International Arab Conference on Information Technology (ACIT). The conference took place at the Al Ain University – Abu Dhabi Campus on November 22-24, 2022. The paper “Overcoming Limitations of Statistical Methods with Artificial Neural Networks” was authored by M. Grebovic, L. Filipovic, I. Katnic, M. Vukotic, and T. Popovic. More information about the conference is available here. The paper is available at IEEE Xplore at the following link.
ABSTRACT – Traditional statistical models as tools for summarizing patterns and regularities in observed data can be used for making predictions. However, statistical prediction models contain small number of important predictors, which means limited informative capability. Also, predictive statistical models that provide some type of pseudo-correct regular statistical patterns, are used without previous understanding of the used data causality. Machine Learning (ML) algorithms as area in Artificial Intelligence (AI) provide the ability to interpret and understand data in more sophisticated way. Artificial Neural Networks as kind of ML methods use non-linear algorithms, considering links and associations between parameters, while statistical use one-step-ahead linear processes to improve only short-term prediction’s accuracy by minimizing cost function. Disregarding that designing an optimal artificial neural network is very complex process, they are considered as potential solution for overcoming main flaws of statistical prediction models. However, they will not automatically improve predictions accuracy, so several artificial neural networks and traditional statistical methods are evaluated and analyzed through accuracy measures for prediction purposes in various fields of applications. Based on gained results, couple of techniques for improving artificial neural networks are proposed to get better accuracy results than statistical predictive methods.
AIMHiGH project, a FF4EuroHPC application experiment, was presented at the SmAgTech EXPO2022. Mr Stevan Cakic gave a presentation at the conference during the plenary sessions on 24 Nov 2022. AIMHIGH was also featured in the virtual EXPO platform in the Projects section.
Mr. Stevan Cakic gave a presentation of the project and its results at the conferenceFF4EuroHPC Experiment presented as a HPC Use Case in AgricultureAIMHiGH, a FF4EuroHPC application experiment was featured in the virtual EXPO platform
The AIMHiGH project, a FF4EuroHPC application experiment for development of computer vision solutions for smart poultry farms, can be seen in the background at the SC22 (#SC22) exhibition booth for FF4EuroHPC during the International Conference on High Performance Computing, Storage and Analysis (Dallas, Texas). AIMHiGH was featured as one of the success stories of the FF4EuroHPC project. Learn more about the FF4EuroHPC project and check out the success stories at the following link.
One of our Euro CC members, dr Armin Alibasic got an invitation to speak at the workshop Human Engagement in HPC. Dr Alibasic presented our success stories on how to engage younger students, including high schools, on HPC. Regarding this topic, one of our biggest achievements is creating an Open Mind academy where so far we had over 200 high school students participating in our training on courses such as Analyzing Social Media Trends, Python Video Game Programming, HPC/AI and Machine Learning, Parallel Programming, Hugging Face, and others.
Introducing NCC MontenegroDiscussing the Master program in AI
In addition, he talked about several lectures held at UDG where we invited young researches which gave a very interesting talks on AI/ML and their practical applications. Finally, dr Alibasic concluded by mentioning several conferences organized withing Montenegro, but as well the international events.
The second consecutive virtual online fair “SmAgTech EXPO 2022” on the application of information and communication technologies in agriculture, will be held in the period 23-24/11/2022. The fair is organized within the ERASMUS+ project VIRAL. More than 60 institutions, companies, projects, and programs in the fields of agriculture and ICT will be presented at the fair. Through 20 plenary and section lectures, visitors will be able to hear more about new scientific and practical knowledge in this field. A representative from NCC Montenegro, mr Stevan Cakic, will give a presentation on the use of HPC/AI to develop computer vision solutions for smart poultry farms. More information about the event can be found on the following link.
Click on image to learn about SmAgTech EXPO 2022Mr. Stevan Cakic is scheduled to present on 24th November
