Overview: Multimodal AI links text, images, and audio to deliver stronger clarity across enterprise tasks.Mixed data inputs help companies improve service quali ...

In an era where data has become one of the most valuable assets for organizations, protecting that data is a strategic ...

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 ...

Data is the holy grail of AI. From nimble startups to global conglomerates, organizations everywhere are pouring billions of dollars to mobilize datasets for highly performant AI applications and ...

In the early stages of AI adoption, enterprises primarily worked with narrow models trained on single data types—text, images or speech, but rarely all at once. That era is ending. Today’s leading AI ...

Neuroimaging provides a means for identifying and measuring the structure and function of the brain. Different non-invasive imaging measurements reveal different characteristics of the nervous system, ...

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

OneMedNet has announced a strategic partnership with Protege, an AI training data platform, to provide real-time access to multimodal patient data for AI developers and researchers in the healthcare ...

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 ...

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