The team primarily focuses on participation in public machine learning challenges.
The projects the team will work on are determined in mutual agreement.
Some potential target challenges include:
The ARC prize: The 'abstraction and reasoning corpus' (ARC) is a well-known public benchmark that intends to push the boundaries of AI on abstract reasoning (2024, 2025, 2026).
The AIMO prize: The 'AI for Mathematical Olympiad' (AIMO) prize is another highly-regarded public challenge that aims to develop machine learning models that can solve mathematical problems (for the Mathematical Olympiad). (2024, 2025, 2026)
Neurips challenges: Neurips is (one of the) biggest conferences in machine learning. Every year (in December), they host a range of public machine learning competitions (2023, 2024, 2025).
AI for (bio)science: There is a growing interest in 'AI for science', i.e., the use of AI to achieve progress in other scientific fields (main example). Given our position at the Leiden Bioscience Park, there should be opportunties to connect to researchers from other disciplines, such as chemistry and biology. Several recent ML challenges focus in this direction, for example on predicting properties of polymers or the 3D-structure of RNA.
The (Dutch) AI Cup: A regional competition initiated by the Delft AI Student Team 'Epoch' (2026).