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.

When you use several different methods to do something, it's multimodal. A multimodal presentation might involve giving a speech while referring to a poster that's illustrated with pictures of your main …

May 29, 2024 · As technology advances and new media emerge, multimodal communication becomes increasingly relevant, enabling individuals and organizations to better engage with diverse audiences.

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, …

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

Dec 15, 2016 · Definition of 'multimodal' multimodal in British English (ˌmʌltɪˈməʊdəl ) adjective

Multimodal transportation includes walking, biking, transit, rail, cars and trucks. Multimodal transportation is the movement of people and goods on roadways, including but not limited to, motorists, transit …

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.

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