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, …

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.

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 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 …

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

2 days ago · Multimodal learning is an instructional method that employs various learning styles to make learning more engaging, memorable, adaptable, and inclusive to all learners.

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 preferring a …