August 17, 2026 – We took part in the Eastern European Machine Learning Summer School – EEML 2026, one of the most prestigious machine learning summer schools in this part of Europe, held from July 27 to August 1 in Cetinje, Montenegro. The program is highly selective: this year it drew 2,656 applications from 135 countries, with only around 290 participants from 70 countries admitted. Among them was Oikon’s expert Bruno Ćaleta.
A week of intensive lectures and hands-on workshops brought together lecturers from leading global institutions: Google DeepMind, Anthropic, MIT, EPFL, NYU, Oxford, Cambridge, MILA, and IST Austria. Topics covered deep learning, reinforcement learning, computer vision, diffusion models, mechanistic interpretability, model efficiency, and AI ethics. The school’s importance was reflected in its opening ceremony, attended by Montenegro’s President Jakov Milatović, with the program backed by sponsors including Google DeepMind, UiPath, Bitdefender, and Jane Street.
Bruno was among the invited participants to present a poster on “Maximum Entropy Modeling and Omniscape for Carnivore Habitat Connectivity in the Adriatic Ionian Region,” developed together with Oikon colleagues as part of the Interreg 4PETHABECO project. The research combines MaxEnt habitat suitability modeling with the Omniscape landscape connectivity algorithm to identify key habitats and migration corridors for the brown bear, grey wolf, and Eurasian lynx across the wider Adriatic-Ionian region, drawing on satellite and environmental data.
Opportunities like this allow Oikon to connect its ecological expertise with the latest advances in artificial intelligence and machine learning, further strengthening the tools we use to monitor and protect nature.
View the poster: link
View the abstract: link
More about the summer school is available at: https://www.eeml.eu/.
