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.

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 include text, …

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.

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 would …

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 preferring a …

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

Cities can gain many benefits from multimodal transportation, which encompasses all types of transport, from cars and buses to bikes and pedestrian traffic.

What is multimodal literacy? “Multimodal literacy” means that two or more means or types of communication are being used and aims to utilize multiple senses or modalities during the learning …