Unified multimodal transformers merge text, images, audio, video into single powerful latent representations..Large multimodal language models enable reasoning across text, visuals, audio, documents seamlessly..Vision-language models power image understanding, document parsing, visual question answering at scale..Multimodal data fusion techniques combine heterogeneous features to boost prediction accuracy significantly..Cross-modal retrieval systems link text, images, video for smarter multimedia search applications..Multimodal time-series models analyse audio-visual-text streams for forecasting and anomaly detection..Self-supervised multimodal learning reduces labelled data needs while improving generalisation performance..Transfer learning fine-tunes pretrained multimodal models for healthcare, finance, retail applications..Edge multimodal AI processes sensor, vision, audio data locally for real-time decisions..Read More Stories.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp