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.

The AI industry has long been dominated by text-based large language models (LLMs), but the future lies beyond the written word. Multimodal AI represents the next major wave in artificial ...

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 ...

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

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, ...