Artificial intelligence for science-bridging data to wisdom

Summary: Artificial intelligence (AI) is increasingly used in scientific discovery, providing assistance in hypothesis generation, experimental design, data analysis, and insight generation. Recent breakthroughs include self-supervised learning and geometric deep learning, which enhance model accuracy and efficiency. Generative AI methods can generate diverse designs through analysis of various data modalities. Despite progress, challenges such as data quality and stewardship remain, making it critical to develop foundational algorithmic approaches for AI innovation.