Integrating the knowledge and rules of chemistry , biology, materials science, and pharmacology into deep learning is particularly important for MicroAI. This is precisely the aspect that natural science researchers focus on the most. Moreover, unlike computer vision and natural language processing, which have large amounts of high-quality data available for training, microscopic data is often insufficient. In this case, reducing reliance on data by leveraging knowledge becomes especially important for MicroAI.