Recent advances in machine learning and AI, including Generative AI and LLMs, are
disrupting technological innovation, product development, and society as a whole. AI's
contribution to technology can come from multiple approaches that require access to large
training data sets and clear performance evaluation criteria, ranging from pattern recognition
and classification to generative models. Yet, AI has contributed less to fundamental science
in part because large data sets of high-quality data for scientific practice and model …