Cross-Modal Data Understanding Advances Through Bukun Ren’s Review of Visual Language Models

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

Mistral AI Releases Pixtral Large: a Multimodal Model for Advanced Image and Text Analysis

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

How the Gemma 4 Vision Agent’s “Agentic Loop” Solves Complex Visual Reasoning

Explore the new agentic loop pipeline using Gemma 4 and Falcon Perception for highly accurate, locally hosted image ...
EurekAlert!

Researchers create multimodal sentiment analysis method that improves detection of human emotions while reducing computational cost

Multimodal sentiment analysis (MSA) is an emerging technology that seeks to digitally automate extraction and prediction of human sentiments from text, audio, and video. With advances in deep learning ...
British Journal of Ophthalmology

Publicly available multimodal large language models for ocular surface infections: benchmarking against corneal specialists in triage, diagnosis and treatment

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

Multimodal Perspectives on Sound and Music: Communication, Meaning, and Method Across Disciplines

Music and sound play central roles in how humans produce and interpret meaning across artistic, cultural, and communicational contexts. Sound design and ...