EuroHPC JU organizes a virtual event “Information Day on AI and Supercomputers. This three-hours virtual event will take place on September 26th, 9:30 – 12:30 CEST. The virtual event will discuss:
how EuroHPC JU supercomputers can be used for AI applications,
the access possibilities to these supercomputers,
the current and upcoming AI related calls and activities,
the support possibilities of EuroCC national competence centres
examples of numerous success stories that used many of the possibilities provided by EuroHPC JU.
Interested participants can register to the event at the following link.
Our team members will participate in the joint event CMBEBIH & MEDICON 2023 Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON) International Conference on Medical and Biological Engineering (CMBEBIH). Several young researchers submitted their research results and conference papers for presentation at the MEDICON conference. The focus of these research papers is applying AI to different problems in health and medicine domain. The current version of the conference program is available at the following link.
The joint event will take place in Sarajevo in Sep 2023
Ms Elda Kalac defended her BSc hesis on artificial inteligence and big data analytics. In her thesis, she covered the fundamentals of artificial intelligence and machine learning, introduced some basic algorithms and provided discussion on big data and aplicability of AI to big data analysis.
ABSTRACT – This thesis explores the topic of artificial intelligence and big data analytics. The purpose of the study is to provide a theoretical framework for understanding the concepts of artificial intelligence and big data analytics, and to investigate their mutual interaction. The research methodology includes the selection of appropriate methods and algorithms for analyzing big data, description of the data used in the study, and planning of experiments and performance evaluation. Additionally, examples of artificial intelligence algorithms applied in big data analytics are presented. Through the analysis and interpretation of results, the implications of these techniques for enhancing data understanding and making informed decisions are discussed. The conclusion summarizes the main findings of the research and proposes avenues for further exploration. This work provides a foundation for further research in the field of artificial intelligence and big data analytics.
Artificial intelligence and big data analytics (18.07.2023)
On 18.07.2023, mr Elvis Taruh, a student from UDG presented his BSc thesis on the use of artificial intelligence in video games. His thesis gave an introduction to AI and alrogirthms that are used in games. Besides theorethical background, the thesis included a presentation of practical implementation of several simle video games programmed by the candidate.
ABSTRACT – The paper investigates the application of artificial intelligence (AI) in video games and its impact on the player’s experience. Basic concepts of AI are studied, as well as various methods of applying AI in games, including character management, combat algorithms, pathfinding algorithms, and mission and scenario generation. Ethical aspects of the application of AI in video games are also analyzed, including the impact on social interactions, detection and prevention of cheating, and the development and use of AI in the game industry. Through this paper, the importance of AI in improving the gaming experience is emphasized, but also questions about ethics and challenges faced by players while playing games are also raised. All the aforementioned analyzes provide the paper with an insight into the current state and future possibilities of the application of AI in video games.
Mr Elvis Taruh presented his BSc thesis on AI and video games programming on 18.07.2023
The Innovation Fund of Montenegro (the Fund) publishes the list of projects approved for financing within the framework of the Public Call for encouraging the development of innovation culture and the organization of education in the areas of smart specialization. The fund allocated funds in the total amount of 130,000 euros for financing projects within two program lines according to this Public Call. The public call for the mentioned program lines was open from May 8 to June 15, 2023.
Education in domains of S3 Montengro by the Innovation Fund of Montenegro
The Faculty of Information Systems and Technologies, University of Donja Gorica, proposed the educational project “Application of computer vision and deep learning in agriculture and food production, medicine and energy (AI4S3)” which was highly evaluated and approved for funding. This project focuses on training participants for the application of AI in the priority domains of the Smart Specialization Strategy of Montenegro (S3 Montenegro). This project is continuation of UDG and NCC Montenegro efforts to offer best education and training for HPC, AI and IT in general to Montenegrin stakeholders. The training will take place from October to December 2023. This effort is fully aligned with HPC4S3ME project goals and complementary fits into the promotion of HPC and AI in priority domains of Montenegrin S3.
Mr Nikola Kavaric, an undergraduate student at UDG finalized his BSc thesis on Explainable Artificial Intelligence. This BSc work covered theoretical background and introduction to AI and ML and then covered intepretable and explainable AI and ML models. Explainable AI is critical research topic as we depend on the wide use of AI and ML prediction models in our everyday’s life.
Ms Tamara Lasica, an undergaduate student from UDG, just defended her BSc thesis on the development of generative artificial inteligence (GenAI). Her thesis work was done under the mentorship of prof. Tomo Popovic. The defence took place on 18.07.2023.
ABSTRACT – When OpenAI developed a new model of generative artificial intelligence and made it available to the public at the end of 2022, in the form of the chatbot ChatGPT, and the number of its users grew to 200 million within two months, a real explosion took place in the world of artificial intelligence and it became clear to everyone that nothing would be the same in the future.
This work tries to present and approach the reader in a systematized way this powerful technology that gives robots the ability to “talk” to us, and to create original content from text, to images, music and 3D animations, imitating human creativity at our request.
As generative artificial intelligence (GenAI) is rapidly developing and has the potential to change many industries, this paper considers numerous possibilities of its application, as well as the possibility of abuse and the necessity of introducing legal regulation of artificial intelligence.
Today, the Commission signed association agreements for the Digital Europe Programme with Montenegro, North Macedonia, Albania and Serbia, on the margins of the Regulatory Dialogue with the Western Balkans. Following the signatures, and upon the completion of the related ratification processes, the association agreements will enter into force. Businesses, public administrations and other eligible organisations in these neighbouring countries will be able to access the calls of the Digital Europe Programme, which has an overall budget of €7.5 billion in the 2021-2027 period.
Montenegro signing the DEP
In particular, participants from these four countries will be able to take part in projects that deploy digital technologies across the EU in specific areas such as artificial intelligence, and advanced digital skills. They will also be able to set up Digital Innovation Hubs in their own regions. This will bring them closer to the EU economy and society, benefit their technology capabilities and support digitalisation overall, notably of small and medium-sized businesses. (Source: European Commission – link)
Mr Dejan Babic, a young researcher from UDG, just defended his Master thesis on the use of computer vision and artificial intelligence in medicine. This is a great example of using ICT for vertical priority domains of Monteengrin S3. This research was supported in part by HPC4S3ME project and EUROCC. Mr Babic intends to continue his research in this domain and to enroll PhD program at the UDG. Mr Babic explored the use of different tools for ML and he also experimened with the use of HPC for training prediction models that can be used in medicine. He was one of the first MSc theses defended from the Artificial Intelligence Master program created under the EuroCC project.
ABSTRACT – Artificial Intelligence is transforming the way we live, work, and communicate with the world. The proliferation of data has been the biggest driver of AI in recent years. AI in medicine is rapidly developing and holds great potential in revolutionizing healthcare systems. Its application is already producing promising results in disease detection, diagnosis and drug discovery. AI is widely used in medical facilities worldwide as a decision support tool for patient diagnosis. It is expected to bring significant benefits to healthcare sector. In this thesis, the focus is on the application of artificial intelligence and computer vision in solving real medical problems. The research is both theoretical and empirical and focuses on the application of artificial intelligence and computer vision in the detection of pneumonia, segmentation of blood vessels in the retina, and estimation of cardiovascular risk. The main goal of the research is to achieve the highest possible accuracy in specific cases and approaches, in order for these approaches to be considered applicable in medicine. Throughout the study, some of the ethical issues related to the use of this technology were also raised. At the end of the study, the results, potential challenges, and future directions of this research were discussed.
Computer vision and artificial intelligence in medicineSegmentation of blood vessels in images of retina
Mr Ivan Jovovic, a young researcher from UDG, just defended his Master thesis on the use of artificial intelligence and machine learining on edge devices. This research was supported in part by HPC4S3ME project and EUROCC. His thesis included some great examples of AI applications in digital agriculture. Mr Jovovic intends to continue his research in this domain and to enroll PhD program at the UDG. Mr Jovovic explored the use of different tools for ML and he also experimened with the use of HPC for training prediction models that can be ported onto edge devices. He was one of the first MSc theses defended from the Artificial Intelligence Master program created under the EuroCC project.
ABSTRACT – This thesis explores the combination of artificial intelligence, machine learning, deep learning, and edge computing in modern applications, with a special focus on medicine and agriculture. The paper first introduces the reader to the basic terms and definitions of machine learning, deep learning, computer vision, the Internet of Things and Edge computing. After the theoretical basis, the work provides an insight into the practical applications of these technologies in medicine and agriculture, highlighting the benefits and drawbacks of their applications. In the following, the paper offers a detailed study of practical examples of edge artificial intelligence in agriculture and healthcare, as well as artificial intelligence in the field of medicine, with focus on disease classification. Through the realization and implementation of these projects, the interpretation of the results and the discussion, the paper emphasizes the importance of the integration of artificial intelligence and edge computing in various industries.
Master thesis: The use of Artificial Intelligence on Edge (Edge AI)
