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With the development of Internet technologies, large volumes of multimedia and more generally, multimodal data, can easily be shared among different users or entities for the purpose of diagnosis, analysis, search, recommendation, and prediction etc. in a variety of critical application contexts with no hard-copy backups being kept. Over the past few years, multimedia and multimodal applications have continued to utilize Artificial Intelligence (AI) techniques to bring revolutionary advancement in numerous applications and domains including multimedia content analysis, multimedia social networks, multimodal learning, and multimedia database management. Although AI is not new to multimedia, the researchers are trying to take advantage of the most recent AI technologies in multimedia research to further advance the field. However, many challenges remain such as obtaining, analyzing and managing clean, large, and comprehensive multimedia and multimodal data, security, and applications, etc., which calls for advanced multimedia and multimodal AI to tackle these problems and to lead to great opportunities in the near future. Topics include, but are not limited to
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