On 16-17 March, FF4EuroHPC partners have started with a two-day project review. Dr Bastian Koller, managing director at HLRS – High-Performance Computing Center Stuttgart and project coordinator started the public presentation of the FF4EuroHPC project insights. He also gave a glimpse into the Experiments supported by FF4EuroHPC and provided the outlooks for the future. But most of all, he presented clearly how this project supports European SMEs and encourages their competitiveness and highlighted the added value project brings to the European HPC landscape (source: FF4EuroHPC).
Project AIMHiGH was presented in the session dedicated to FF4EuroHPC experiments
In the photo below, you can see the outstanding results our consortia gained – red-colored countries are participating in the FF4EuroHPC Experiments. Learn more about the Experiments at the foll.owing link.
Young researchers, Ms Almira Suljovic and Mr Ivan Jovovic, from UDG will be presenting their papers at the upcoming IEEE INFOTEH 2022 Conference. This is the 21st International Symposium INFOTEH-JAHORINA. The first paper will be discussing the use of machine learning to detect disease in leafs with potential application in smart agriculture. The other paper will be discussing the use of machine learning to detect face masks and the use of prediction models on edge AI devices. The papers to be presented are scheduled for 18 March 2022 and both papers discuss the use of AI and machine learning. More about the conference can be found at the following link.
NCC Montenegro provided support to these researchers and they plan to continue the experimentation in these fields using HPC resources. The list of accepted papers and the conference program are available here.
IT2022 Conference and EuroCC Workshop on HPC and AI were featured in national news portals today. Most notably we got coverage in CDM and AntenaM. For that purpose EuroCC Montenegro prepared a short video covering the conference and workshop activities.
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A paper titled “Image-Based Parking Occupancy Detection Using Deep Learning and Faster R-CNN”, authored by Z. Scekic, S. Cakic, T. Popovic and A. Jakovljevic, was presented at the 26th International Conference on Information Technology, IEEE IT2022. The paper was presented by a young researcher Ms Zoja Scekic, Faculty of Applied Sciences, on 17 February 2022 in the paper presentation session at IT2022. The paper discussed the use of machine learning and HPC to develop prediction models that could be embedded into edge AI setting for Smart parking solutions The effort was supported by the EuroCC Monteengro team.
ABSTRACT – Smart city is one area with the growing use of Internet of Things and Artificial Intelligence. The concept of smart cities relies on making quality of life better, and solving important problems, such as global warming, public health, energy and resources. Smart parking management is one of the smart city use cases. This paper describes the use of deep learning algorithms to process images of parking lots and determine their current occupancy. The development of prediction models was done using PKLot dataset with 12417 images, Detectron2 software library, and Faster R-CNN algorithm. The resulting models can be integrated into parking space sensors and used for building smart parking solutions, and thus lead to more efficient use of space in urban areas, reduced traffic congestion, as well as reducing parking surfing to minimum.
The paper presented at the 26th IEEE IT2022 Conference
EuroCC Montenegro and UDG took part in the organization of the 26th International Conference on Information Technology, IEEE IT2022. The conference was organized in a virtual setting this year. More information about the conference is available here.
EuroCC project was presented by Dr Luka Filipovic in the session dedicated to presentation of project results for the projects implemented in Montenegro and the region. Besides EuroCC itself, in this session Mr Stevan Cakic gave a presentation of AIMHiGH project that is done in the context of H2020 FF4EuroHPC experiments and EuroCC/UDG is a partner. This session took place on 16 February 2022.
Successful wrap up of the 26th IEEE IT conference IT2022
Also, the 2nd EuroCC Workshop on High-Performance Computing, High-Performance Data Analytics, and Artificial Intelligence. We had presenters from Slovenia, Croatia, Cyprus, Czechia, Netherlands , Serbia, and Montenegro. This event was organized in a hybrid setting where we had around 10-15 attendees at the UDG (EuroCC Montenegro), and over 40 attendees via Zoom. The workshop was split into 4 afternoon sessions spread over two days on 17-18 February. The workshop was attended by the representatives of Montenegrin academia and students (UDG, UCG), industry, and partners More details on the workshop will follow soon. The program agenda is available here.
Hybrid setting of the EuroCC Workshop during IEEE 2022
In four sessions dedicated to paper presentations, there was over 30 papers presented, several of which were related to AI and machine learning. Ms Zoja Scekic, a young researcher and student from UDG, presented a paper on the use of AI/ML for computer vision applications in Smart Parking.
Paper on the use of AI/ML for Parking Occupancy Detection
Ms Jelena Tijanic, a master student at the University of Donja Gorica just defended her Master thesis titled “Ethics and Artificial Intelligence”. The thesis was done at the Master academic studies “Statistics” (EMOS) under supervision of her mentor prof. dr Milica Vukotic.
ABSTRACT – Artificial intelligence is ubiquitous and enables many of our daily routines – booking flights, driving without a driver, supports decision-making in governments and the private sector. Artificial intelligence technology delivers outstanding results in highly specialized areas such as cancer screening and building an inclusive environment for people with disabilities. They also help combat global problems such as climate change and world hunger, and help reduce poverty by optimizing economic aid. But technology also brings unprecedented new challenges. We see increased gender and ethnic bias, significant threats to privacy, dignity, dangers of mass surveillance, and increased use of unreliable law enforcement technologies.
The first part of the thesis presents the basic problems that the world is facing and why the development of artificial intelligence is a potential threat to the future of mankind. A new recommendation adopted by UNESCO member countries was presented. The second part of the thesis describes the basic concepts related to recommendation systems, the way they work, as well as their division. Here are some examples of where systems are used. Ethical problems that can be encountered during their development are described.Finally, a practical example of a movie recommendation system is described. The process of making the systems was described and the result analyzed.
Master Thesis: Ethics of Artificial Intelligence – Ms Jelena Tijanic
Combined adaptive load balancing algorithm was tested on the HPC provider computing resources. Algorithm is based on domain decomposition and master-slave algorithms. Its core scheduling adaptive mechanism handles load redistribution according obtained and analyzed data. Selection of distribution algorithm, based on collected parameters and previously defined conditions, proved to deliver increased performances and reduced imbalance. Results of simulations confirm better performance of proposed algorithms compared to the standard algorithms reviewed in this paper.
Experimenting with combined adaptive load balancing for parallel application
Simulations on up to 224 CPU cores proved its validity and better efficiency than standard domain decomposition and master slave algorithms. In addition, simulations have shown that there are no large losses due to the increase in the number of cores on which the simulation is performed. More information on the experiment goals and the algorithm is available in the following reference: L. Filipovic, B. Krstajic, and T. Popovic, “Combined adaptive load balancing algorithm for parallel applications”, 8th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2021.
