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.
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.
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.