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.

4 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. …

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 …

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 …

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.

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.

Being Multimodal means that when learning, you prefer to use two or more of the four VARK modalities – VISUAL (V), AURAL (A), READ/WRITE (R), and KINESTHETIC (K) – rather than …