This Collection aims to showcase the current progress and latest solutions in multimodal learning, encourages practical and interdisciplinary research towards the definition of systems that can ...

Based on novel tokenization logic, Precious3GPT presents genuinely multimodal learning process on a large collection of >2MM data points from public omics datasets, as well as biomedical text data ...

The performance of the machine learning models is shown in the Table. Predictions from the unimodal models had limited correlation with each other (the maximum pairwise correlation averaged across ...

If you are concerned about your course’s specific content and learning outcomes and how multi-modal AI might allow learners to avoid parts of visual identification process, you can reach out to ...

This article reports on a longitudinal case study of a Chinese ethnic minority student’s participation in a digital multimodal composing (DMC) project and its pertinent impact on the student’s ...