Publications – Page 3

20.07.2023.20.07.2023.

BSc thesis on AI and video games

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

20.07.2023.20.07.2023.

BSc thesis on Explainable Artificial Intelligence

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.

Mr Kavaric’s defence took place on 18.07.2023.

20.07.2023.20.07.2023.

BSc thesis on Generative Artificial Intelligence (GenAI)

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.

The BSc tehsis was presented on 18.07.2023.

27.06.2023.03.07.2023.

Master thesis: Computer vision and AI in medicine

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 medicine

Segmentation of blood vessels in images of retina

27.06.2023.03.07.2023.

Master thesis: The use of Artificial Intelligence on Edge (Edge AI)

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.