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.

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

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 …

A multimodal agent may do this in multiple ways: through speech and intonation, facial expression and gaze, gesture, body movements and posture.

Jan 21, 2026 · 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. …

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

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 …

Jul 15, 2025 · Multimodal data is information that exists across multiple different formats or modalities simultaneously, including text, audio, image, video, and sensory or specialized data.

Jun 10, 2025 · Multimodal AI is a type of artificial intelligence that can understand and process different types of information, such as text, images, audio, and video, all at the same time.

Oct 13, 2025 · Learn about Multimodal Models. Explore their diverse applications, significance, and key components, and also learn how to create a multimodal model properly.