Scientific Machine Learning for Fundamental Physics - ML4Jets 2026 in Vienna
21.09.2026
Over the past years, High Energy Physics (HEP) has made significant strides by developing and applying machine learning (ML) and artificial intelligence (AI) approaches. These advancements have greatly improved particle and event identification, reconstruction, simulation, experiments operations, and more.
The ML4Jets2026 workshop highlighted the latest advances and current challenges in these fields. Participants included experts and scientists in particle physics, astronomy, astrophysics, cosmology, astroparticle physics, hadron and nuclear physics, as well as computer scientists from research, industry, and academia.