AI4Science loader

About

The full day course on the topic "AI for Science", organized by the Slovenian AI Factory (SLAIF), was given by Professor Sašo Džeroski in Ljubljana on May 20th 2026.

This course introduced artificial intelligence methods developed to address the specific challenges of scientific research, such as producing explainable predictions, learning from limited labelled data, incorporating domain knowledge, and supporting open and reproducible science. It covered explainable machine learning, semi-supervised learning, foundation models, automated modelling of dynamical systems, and semantic technologies and ontologies. Practical examples from the life, environmental, and materials sciences demonstrated how these methods could be applied to real scientific problems. The course also provided an introduction to the Slovenian AI Factory and the opportunities it offered to researchers working with AI.


Recordings of Lectures and Slides

  1. Artificial Intelligence and Science: A Brief Introduction [Recording] [Slides]
  2. AI for Science in the Slovenian AI Factory (SLAIF) [Recording] [Slides]
  3. Explainable Machine Learning for Science [Recording] [Slides]
  4. Foundation Models for Science [Recording] [Slides]
  5. Automated Modelling for Science and Engineering [Recording] [Slides]
  6. Semantic Technologies for Open Science [Recording] [Slides]
  7. AI for Materials Science [Recording] [Slides]
  8. AI for Life Sciences [Recording] [Slides]
  9. AI for Environmental Sciences [Recording] [Slides]

  10. For more information, visit SLAIF - Slovenian AI Factory and check Artificial Intelligence for Science book.
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