Abstract: This issue introduces the new term: data augmentation. Data augmentation is a technique that enhances the generalization capability of artificial intelligence (AI) models by transforming, combining, or generating new samples from existing data. Widely applied in image processing, natural language processing (NLP), and tabular data analysis, it effectively mitigates challenges such as data scarcity and imbalanced distributions.