AI Architecture Part 1: How do images and text mix in the brain? The technical mechanism of the next-generation standard, 'Multimodal AI'

In previous installments of this series, we have explained AI algorithms and data management centered on 'text (language),' ...
InfoQ

Bridging Modalities: Multimodal RAG for Advanced Information Retrieval

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 ...

How to Approach Gemini's Image and Multimodal Capabilities in Business

Multimodal capabilities, which allow for the understanding of not just text but also images and charts, are an area being strengthened in generative AI from various companies, not just Gemini. While ...
Techno-Science.net

From Text to Voice to Vision – How to Build Multimodal AI Apps Today

Building multimodal AI apps today is less about picking models and more about orchestration. By using a shared context layer for text, voice, and vision, developers can reduce glue code, route inputs ...
BIOENGINEER

Hypergraph Adapters Push Parameter-Efficient Multimodal Fine-Tuning to New Heights

Net, a hypergraph-based adapter that connects related examples within each mini-batch and achieves near-perfect fine-grained recognition with only 1.573 million ...
InfoWorld

Microsoft’s Phi-4-multimodal AI model handles speech, text, and video

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 ...