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Algorithms and Scientific Exploration
This chapter focuses on the role of algorithms across various scientific fields such as meteorology, biology, and materials science. It emphasizes the need for a generalist mindset, robust evaluation metrics, and collaboration with experts to create effective machine learning models for scientific inquiry, particularly in understanding complex protein structures. Additionally, the integration of generative AI and unstructured data from scientific literature is explored as a means to enhance research and algorithmic discovery.