摘要
Artificial intelligence(AI),particularly through its datacrunching powerhouse,machine learning(ML),is revolutionizing the way we approach high-throughput data to obtain underlying mechanisms,characterizing,forecasting,and making evidencebased decisions in many fundamental science disciplines.However,a pressing question has emerged in the scientific community in recent years:How can we effectively interpret AI algorithms and gauge their contributions to fundamental research?
