A study on visual language models explores how shared semantic frameworks improve image–text understanding across ...

A Cell Perspective argues that generative AI models could help tackle cancer’s multiscale, multimodal complexity by ...

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 ...

Background/aims Ocular surface infections remain a major cause of visual loss worldwide, yet diagnosis often relies on slow ...

New research from Seattle’s Allen Institute for AI can help improve AI’s ability to interpret and learn, so they can provide us with better tools in the future. (AI2 Image) Our world is a nuanced and ...

OpenAI’s GPT-4V is being hailed as the next big thing in AI: a “multimodal” model that can understand both text and images. This has obvious utility, which is why a pair of open source projects have ...

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 ...

In the study titled MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer, a team of nearly 30 Apple researchers details a novel unified approach that enables both ...

Google has introduced Gemini Embedding 2, its latest multimodal AI model designed to process text, images, video, audio and documents in a unified vector space. AI has been changing swiftly to the non ...