ML4Science course - Data pre-processing for ML applications - Class 3

In this recorded session from the AI4Science Spring Seminar Series, we explore cutting-edge research at the intersection of artificial intelligence and scientific discovery. The series brings together leading researchers working on topics such as: Machine learning for physics, astronomy, and complex systems AI methods for scientific data analysis Foundations of trustworthy and interpretable AI in science Emerging applications of large language models in research This seminar is part of the ongoing AI4Science initiative hosted by the University of Nova Gorica, fostering collaboration across disciplines and advancing AI-driven science. Full program and speaker schedule: https://ai4science-ung.github.io/3fli34-Spring/schedule/ If you enjoyed the talk, don’t forget to subscribe for more seminars and research discussions.