The 52 full papers presented in this volume were carefully reviewed and selected from 113 submissions. They were organized in topical sections as follows: Explainable AI; Hypothesis Generation and Causal Discovery; Language Models and Automated Scientific Discovery; Retrieval-Augmented Generation, Agentic AI; Physics-Informed Machine Learning; Computational Equation Discovery and Symbolic Regression; Benchmarking Methodologies; Continual; Transfer and Meta-Learning; Machine Learning: Representation Learning; Clustering and Model Design and Machine Learning Applications.