What is multimodal AI? Think of traditional AI systems like a one-track radio, stuck on processing a single type of data - be it text, images, or audio. Multimodal AI breaks this mold. It’s the next ...

Abstract: Advancing Multimodal AI for Integrated Understanding and Generation explores the transformative potential of multimodal artificial intelligence (AI), which integrates diverse data types such ...

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 intelligence ...

Microsoft Corp. today expanded its Phi line of open-source language models with two new algorithms optimized for multimodal processing and hardware efficiency. The first addition is the text-only ...

As large language models (LLMs) evolve into multimodal systems that can handle text, images, voice and code, they’re also becoming powerful orchestrators of external tools and connectors. With this ...

French AI startup Mistral has dropped its first multimodal model, Pixtral 12B, capable of processing both images and text. The 12-billion-parameter model, built on Mistral’s existing text-based model ...

Apple has revealed its latest development in artificial intelligence (AI) large language model (LLM), introducing the MM1 family of multimodal models capable of interpreting both images and text data.

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more As companies begin experimenting with ...

Transformer-based models have rapidly spread from text to speech, vision, and other modalities. This has created challenges for the development of Neural Processing Units (NPUs). NPUs must now ...

Images are now parsed like language. OCR, visual context and pixel-level quality shape how AI systems interpret and surface content.