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

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.

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, …

Dec 23, 2025 · A multimodal approach uses a variety of formats and activities to make courses more engaging, support comprehension, and strengthen retention—especially when learners have …

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.

Jan 28, 2026 · Here we introduce Emu3, a family of multimodal models trained solely with next-token prediction. Emu3 equals the performance of well-established task-specific models across both …

Jan 6, 2026 · When teachers ask, ‘What is multimodal learning?’, the simple answer is that students learn best when they experience ideas in a variety of ways and have more than one way to show …

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 …

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 23, 2025 · Multimodal Machine Learning refers to the use of multiple data types such as text, images, audio and video or modalities to build models that can process and integrate them into a …