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In-house HPC infrastructure update

As planned, our project AI-AGE is advancing high-performance computing (HPC) infrastructure to support AI-driven research on biomarkers of aging in medical applications. This initiative will empower our team with cutting-edge resources, allowing us to enhance our capacity for data analysis and predictive modeling. To meet the demands of sophisticated AI computations, with the support of AI-AGE, we are upgrading our existing HPC setup with a powerful computing node. This new addition includes a rack computing node equipped with a 48 CPU cores with 128GB RAM, NVIDIA L40 48GB GPUs, and 2x480GB internal SSDs. In addition, the project supported NAS storage of 24TB (multiple disks with RAID) dedicated for dataset management. This infrastructure enhancement is designed to integrate smoothly with our existing equipment, augmenting both our computational and storage capabilities while providing significant value for our investment.

New computing infrastructure supported by the AI-AGE project as planned

AI-AGE project, supported by the Ministry of education, science and innovation, is implemendet through collaboration between Faculty for information systems and technologies at Uiversity of Donja Gorica, and Faculty of medicine at University of Montenegro. The in-house HPC infrastructure is a result of cross-project collaboration with HPC4S3ME project (IPA programme) and both of these project are done with the support from EUROCC NCC Montenegro. The main goal for the in-house lab is for researchers to gain a hands on experience with physical equipment a their disposal, while for larger computing tasks, we will apply for computing time on some of the EU supercomputers.

The equipment upgrade include a Computing node and NAS storage for data menagement
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Research Topic Proposal Defense for the Doctoral Dissertation

The public defense of the Research Topic Proposal for the Doctoral Dissertation by candidate Dr. Isidora Rubežić Lukić, titled “Methods for Assessing Biological Age and Their Correlation with Morbidity and Frailty Syndrome,” took place on September 24, 2024, at the Faculty of Medicine, University of Montenegro, before a committee consisting of:

  • Prof. dr Aneta Bošković – Full Professor at the Faculty of Medicine, University of Montenegro, Chair
  • Prof. dr Antoaneta Adžić Zečević – Full Professor at the Faculty of Medicine, University of Montenegro, Member
  • Prof. dr Nataša Popović, Associate Professor at the Faculty of Medicine, University of Montenegro, Mentor and Member

After the candidate’s presentation, the committee members provided comments and suggestions important for the continuation of her dissertation work and posed questions that the candidate successfully answered. After all comments and suggestions were adequately addressed, the committee unanimously decided that the candidate had successfully defended her doctoral dissertation topic.

Dr. Isidora Rubežić Lukić successfuly defended her research topic proposal for her PhD thesis
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Initial recruitment of patients for the AI-Age project is completed

The initial recruitment of the patinets for the AI-Age project is finalized. It was conducted in the primary health care clinics of the Podgorica, the capital of Montenegro. We aim to compare the populations of Great Britain and Montenegro in terms of multimorbidity and frailty status, taking into account differences in economic status and life expectancy (80.7 years in the UK, 76.3 in Montenegro).

The recruitment of the patient for the projects completed.
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Awakening the vision at UDG: lectures and workshops for new students

AI-AGE team participated in presenations during the implementation of the “Awakening the vision at UDG 2024”. We gave several presentations and workshops relevant to the AI and need to understend and adopt the AI in everyday’s life and workflow. Please check out the video about the event that engaged about 1000 new students enrolled in the first year of studies at UDG.

Awakening the Vision at UDG
Several AI related workshops offered to around 1000 new students at UDG
Participation in lectures and discussions on AI in everyday’s life and workflow
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Announcement of the preliminary defense of PhD thesis

Isidora Rubežić – Lukić, MD, will publicly present the goals and expected results, as well as present the research program with the conditions for the successful completion of the doctoral thesis entitled: “Methods for the assessment of biological age and their correlation with morbidity and frailty syndrome”. This preliminary defense will take place in the Meetin Room, Faculty of Medicine, before the Committee for the Evaluation of Doctoral Dissertation Applications, consisting of:

  • Prof. Dr. Aneta Bošković – full professor of the Faculty of Medicine, University of Montenegro, president
  • Prof. Dr. Nataša Popović – associate professor of the Faculty of Medicine, University of Montenegro, mentor-member
  • Prof. Dr. Antoaneta Adžić Zečević – associate professor of the Faculty of Medicine, University of Montenegro, member
Assessing the biological age, multimorbidity and fragility syndrome by analyzing fundus photographs
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FFPlus Open Calls for Innovation Studies and Business Experiments

This FFplus open call for the development of generative AI models (“innovation studies“) )addresses the needs of SMEs and Start-ups proficient in generative AI and HPC for large-to extreme-scale computing resources. The strategic objective is to facilitate and strengthen the technological development of European SMEs in the area of generative AI. The participating SMEs and Start-ups will be supported in enhancing their innovation potential by leveraging new generative AI models, such as Large Language Models (LLMs), building on their existing expertise, application domain, business model and potential for expansion. Link: https://www.ffplus-project.eu/en/open-call/innovation-studies/

Open Call for Innovation Studies

This announcement is the first call for proposals to address the uptake of HPC by SMEs in order to solve specific business challenges of SMEs that have had no prior use of, or experience with, HPC services. The resulting sub-projects will perform “business experiments” (also referred to just as experiments) that should demonstrate to the broader European SME ecosystem that HPC uptake solves business challenges and leads to positive business impact through the use and deployment of HPC-based computational methods. Thus, their key outputs are success stories that promote, communicate, and disseminate the business impact of HPC uptake to the SME ecosystem. Link: https://www.ffplus-project.eu/en/open-call/business-experiments/

Open Call for Business Experioments
Click on image to learn more about FFPlus

 

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Over 1000 visitors in the first 6 months

It has been little bit over a 6-month period since we started the project website. Early stats indicate that there is an interest in the project. The statistcs has already recorded over 1000 visitors. Lots of this is thanks to the participation in live events and conferences, social media, and inter-project collaboration.

It has been over 6 months of the website uptime
The statistics for the website shows a growing interest in the project activity
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Symorg 2024 Conference

A research paper prepared by our young researcher was published at the SymOrg 2024 conference, organized by the Faculty of Organizational Science, University of Belgrade, at Zlatibor, Serbia on June 12-14, 2024. The conference, traditionally envisioned as a platform for knowledge innovation and empirical research, bringing together representatives from the scientific and professional community, was themed: ”Unlocking The Hidden Potential Of Organization Through Merging Of Humans And Digitals”, aiming to address the newfound need for balance in the era of AI. This paper was done with the support of EUROCC2 and NCC Montenegro team.

The scientific paper “Detection of Scoliosis” by Elvis Taruh, Enisa Trubljanin, and Dejan Babić explores the application of a deep learning model integrated with a web application to detect scoliosis using x-ray images. Utilizing a dataset of 198 x-ray images from Roboflow, the initial model performance was unsatisfactory, prompting manual annotation of 245 images, which significantly improved the model’s accuracy. YOLOv8, a state-of-the-art object detection algorithm, was used to train two models, demonstrating improved performance with manual annotations. The web application, built with Flask, HTML, CSS, and JavaScript, provides a user-friendly interface for analyzing scoliosis detection results. The backend uses MySQL for data storage and management, facilitating efficient image processing, result display, and feedback from doctors. Evaluation metrics indicate that the second model, which underwent refined annotation and augmentation, performed better, avoiding overfitting and demonstrating higher precision. This approach enhances early scoliosis diagnosis and offers a scalable solution for other medical detection challenges, supporting healthcare providers with more accurate diagnostic tools and improving patient care.

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Equipment specification and public call for offers

The private institution Faculty of Information Systems and Technologies, University of Donja Gorica (UDG) invites you to take part in the process of submitting bids for the selection of the most favorable supplier for the procurement of equipment for the Faculty of Information Systems and Technologies, UDG for the purposes of implementing “AI-AGE Artificial Intelligence in to the identification of new non-invasive biomarkers of aging”, grant number 04-082/23-2528/1. The detailed information is made available at the following link.

Documentation for computing and data storage equipment is made availble

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