Abstract: Antimicrobial peptides (AMPs) are a class of small molecule peptides with broad-spectrum antimicrobial activity.Their unique antimicrobial mechanism can effectively treat infectious diseases, with rare drug resistance.However, though AMPs with antimicrobial activity can be screened by traditional methods, the whole process is complicated.The artificial intelligence (AI) screening method is faster and more convenient, with great potential in exploring new natural antimicrobial peptides.In this paper, strategies related to AMPs screening by AI were summarized and compared, including data sources applied to model training, artificial intelligence machine model and omics data applied to model screening of novel antimicrobial peptides.The application prospects and advantages were reviewed, in hope of providing new ideas for identification, research and development of antimicrobial peptides.