Multimodal Learning with Uncertainty Quantification based on Discounted Belief FusionMultimodal AI models are used in various fields such as healthcare, finance, and autonomous driving.Managing uncertainty is important for reliable decision-making in multimodal learning.A novel multimodal learning method with order-invariant evidence fusion and conflict-based discounting is proposed.