June 2023 – HPC4S3.ME

30.06.2023.03.07.2023.

Digital Europe Programme opens to Montengro

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.

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)

Digital Europe Programme opens to Montenegro

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.