Physic Experiment

Physics experiments are undergoing a transformation driven by advancements in artificial intelligence and automation, aiming to improve efficiency, reproducibility, and data analysis. Current research focuses on developing AI agents and digital assistants to design, execute, and analyze experiments across diverse fields, from robotics and materials science to biology and meteorology, often employing machine learning models like Bayesian optimization, large language models, and reinforcement learning. These innovations promise to accelerate scientific discovery by automating repetitive tasks, optimizing experimental design, and extracting deeper insights from complex datasets, ultimately enhancing the speed and reliability of scientific research.