HPC4S3ME project was presented at the 28th IEEE IT2024 Conference that took place 21-24 Feb 2024 in Zabljak, Montenegro. The presentation took place in a poster section dedicated to project presentations. We had a chance to talk to conference attendees, our colleauges from Montenegro and abroad. Also, the next day we had a large group of students participating in the EuroCC Workshop on HPC and Industry Applications, where we had a chance to discuss the project posters and take their attention to HPC4S3ME and other projects presented at the conference. Furhtermore, during the conference we had a scientific paper that was based on the research conducetd bz young researchers.
HPC4S3ME presented in the special section dedicated to project resultsThe attendance was over 100 people during the conferenceAll the project posters were present throughout the whole conference
As UDG is one of co-organizers of the 28th IEEE Conference on Information Technology 2024, we are actively preparing for our participation. HPC4S3ME project will be presented in the special session dedicated to project results dissemination on Wednesday. Also, we will have a conference paper presenteation that will take place on Thursday. This paper will discuss the use of AI and HPC for development of applications for cultural heritage preservations and their valorization in tourism.
The conference will have a rich program involving a whole afternoon EUROCC2 Workshop on HPC and Industry applications, as well as invited lecture on LLMs and round table discussion on AI on Friday late afternoon.
Registration is open for the upcoming EuroCC Training Event – High Performance Computing and Industry Applications. This event is organized in alignment with the 28th International Information Technology IEEE Conference IT 2024, traditionally taking place in Žabljak, Montenegro. The workshop is organized in hybrid mode. EuroCC NCC Montenegro is organizing this event in collaboration with NCCs from Cyprus, Slovenia, Turkiye, Romania, Netherlands, and North Macedonia. You can register for the event by clicking on the image below or at this link.
You can find the agenda and event details at the NCC Motnenegro website (link).
More info on NCC Montenegro website (click on image)
Another AI and S3 related project is granted for implementation at UDG. The AI-AGE project proposes the use of machine learning (ML) algorithms and evaluation of state-of-the-art AI tools to train and create prediction models to identify novel non-invasive biomarkers of aging, and increased risk for development of age-related conditions. The idea is to utilize a large dataset of annotated retinal images from the UK Biobank, to explore deep learning (DL) techniques, most commonly based on convolutional neural networks (CNNs), such as U-Net and Res-Net, and transformers, but also to expand the research on the use of ensemble methods that combine ML techniques to improve performance and accuracy.
Click to open AI-AGE website
The eye serves as a window for non-invasive assessment of retinal vascular and neural tissue, offering valuable insight into our health. Extensive research has established the association between changes in retinal morphology and the increased risk for many age-related chronic diseases. These changes are also linked to healthy aging, albeit more pronounced in the presence of age-related chronic conditions. This project will provide sustainability for HPC4S3ME activities and it implementation spans from 2024 to 2026.
AI-AGE project is implemented through partnership between the Faculty for Information Systems and Technologies (UDG) and Faculty of Medicine (UoM). The project is funded by the Ministry of Education, Science and Innovation, grant number 04-082/23-2528/1.
