Mobility – AI-AGE

20.07.2026.11.08.2026.

AI-AGE Team Member Participated in Oxford Machine Learning School 2026

Oxford, 14–18 July 2026 – A member of the AI-AGE project team participated in the Oxford Machine Learning School 2026 (OxML), attending the MLx Representation Learning & Generative AI module. The intensive programme brought together more than 150 participants and lecturers from leading academic and industrial research environments, including Oxford, Cambridge, Imperial College London and Google DeepMind.

Participation in the Oxford Machine Learning School 2026 (OxML)

Over four days, the programme covered advanced topics in modern machine learning, ranging from frontier models for vision and language to multimodal representation learning, generative AI and agentic systems. Particular value came from the strong theoretical foundations underlying these methods, complemented by discussions and exchange with researchers from across Europe and beyond.

This was also an opportunity to network with researchers from all over the World

Participation in OxML contributes directly to the capacity-building objectives of the AI-AGE project, strengthening expertise in advanced AI and machine learning methods relevant to the project’s research activities. Such training is particularly important for developing the methodological knowledge required to apply state-of-the-art AI approaches to biomedical data, representation learning and the identification of non-invasive biomarkers of aging.

Participation was co-financed through the 2026 Call for Co-financing Scientific Research Activities provided by the Ministry of Education, science and Innovation.

18.04.2025.30.04.2025.

AI-AGE researcher gave a presentation at CANU

Researcher and associate at the University of Donja Gorica, Dejan Babić, MA, participated in the panel “Digital Economy” organized by the Montenegrin Academy of Sciences and Arts and the Department of Social Sciences. In his presentation, he shared his impressions from a recent visit to China, emphasizing the openness and cordiality of the Chinese hosts, as well as the high level of professionalism at universities. He particularly emphasized the way in which China, as a global leader in the field of artificial intelligence, strategically invests in the development of infrastructure and human capital, which enables the rapid application of innovations and the shaping of a modern digital economy through the synergy of the academic community and industry.

Presentation on experiences from the mobility visit to Bejing in China

In the continuation of his presentation, Dejan Babić MA also presented parts of his doctoral research focused on the application of artificial intelligence in medicine, especially in the analysis of aging biomarkers through the fundus, which he is implementing through the AIAGE project. He highlighted the challenges facing the healthcare sector, such as diagnostic errors and the workload of medical staff, as well as the potential of AI technologies to improve the accuracy, speed and accessibility of healthcare. He paid special attention to generative models, predictive diagnostics and explainable AI, as the most promising directions of development that contribute to the digital transformation of healthcare and open up new opportunities for economic growth through innovation and cooperation between different sectors.

Presentation of research activities based on AI-AGE use case

16.04.2025.

Scholar Visit to China

A delegation from the University of Donja Gorica visited the Republic of China from March 22 to April 1, with the primary goal of strengthening cooperation with Chinese universities in the field of artificial intelligence. During the visit, the delegation engaged with different universities and institutions: Henan University, SIAS University, Beijing University of Technology (BJUT), Beijing Institute of Technology (BIT), Beijing Union University (BUU), and the Chinese Academy of Sciences (ANSO).

Mr Dejan Babic (PhD student) and mr Stevan Cakic (PhD candidate), both members of the AI-AGE project team, were responsible for discussion related to AI and applied computer science. They were actively involved in engagement of their Chinese peers to explore the oppotunities for collaboration.

AI-AGE project team members were actively involved in exploring oppotrunities for collaborations

Each visit included structured meetings focused on developing joint research initiatives, student and staff exchange programs, as well as opportunities for participation in summer schools and international collaborations. The Chinese side demonstrated exceptional hospitality, professionalism, and a strong interest in building long-term partnerships. In addition to the official program, the delegation had the opportunity to explore Chinese history and culture through visits to key historical landmarks and institutions.