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 …

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.

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

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

Multimodal projects are simply projects that have multiple “modes” of communicating a message. For example, while traditional papers typically only have one mode (text), a multimodal project …

MULTIMODAL definition: having more than one mode. See examples of multimodal used in a sentence.

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.

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 29, 2024 · Multimodal AI is artificial intelligence that combines different types of data or patterns to make more accurate decisions, make recommendations, or predict real-world …