Multimodal retrieval-augmented generation (RAG) enhances AI retrieval by integrating text, images, and structured data for deeper contextual understanding. A typical multimodal RAG pipeline consists ...
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 ...
Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...
Discover Qwen 3.5, Alibaba Cloud's latest open-weight multimodal AI. Explore its sparse MoE architecture, 1M token context, ...
Using The Water Dragon and Reunion as case studies, this paper applies Serafini’s multimodal text analysis framework to compare the Chinese and English covers from three perspectives: perception, ...
Microsoft has introduced a new AI model that, it says, can process speech, vision, and text locally on-device using less compute capacity than previous models. Innovation in generative artificial ...
Technology has long promised to bring people closer together, yet so much of our digital life is flattened into a single pane of glass. Screens dominate our work, communication and entertainment. They ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results