Multimodal learning is a type of deep learning that integrates and processes multiple types of data, referred to as modalities, such as text, audio, images, or video.

What is multimodal AI? Multimodal AI refers to machine learning models capable of processing and integrating information from multiple modalities or types of data. These modalities can include text, …

Jan 15, 2026 · What multimodal AI is and how it works Multimodal AI is emerging as part of the fast-moving world of AI technology, bringing together multiple types and modalities of data to build a …

Dec 5, 2016 · The meaning of MULTIMODAL is having or involving several modes, modalities, or maxima. How to use multimodal in a sentence.

5 days ago · Multimodal models are AI systems that process and integrate multiple data types in parallel. They combine text, images, and audio into one unified language model or network. This lets …

Jul 2, 2025 · At its core, multimodal learning involves leveraging multiple modalities of information to improve learning, understanding, and decision-making. A modality refers to a specific sensory …

2 days ago · Multimodal AI systems combining text, image, audio, and video processing are transforming industries from healthcare to creative production. Discover how these integrated AI …