Ultimately, multimodal AI is more than just a technological breakthrough—it’s a powerful tool that can make healthcare more personal, effective and humane.

Artificial intelligence is evolving into a new phase that more closely resembles human perception and interaction with the world. Multimodal AI enables systems to process and generate information ...

By integrating a variational autoencoder with a deep survival model, it outperforms traditional methods, achieving a median C-index of 0.78 in a cohort of 2,043 patients.

Businesses and developers can pick from a whole catalog of multimodal models — or get help mixing and matching from the 1,800 options in the Azure AI Foundry — to create more intelligent and ...

Multimodal RAG, RAG that can also surface a variety of file types from text, images or videos, relies on embedding models that transform data into numerical representations that AI models can read.

Multimodal AI, which can ingest content in non-text formats like audio and images, has leveled up the data that large language models (LLMs) can parse. However, new research from security ...

Phi-4-multimodal is a 5.6 billion parameter model that uses the mixture-of-LoRAs technique to process speech, vision, and language simultaneously. LoRAs or Low-Rank Adaptations, ...