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

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

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, …

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.

Learn what multimodal AI is, how it works, key use cases, and how to start using it across text, image, audio, and video inputs.

Learn what multimodal transport is, how it works, key benefits, examples, and how it differs from intermodal shipping in global logistics.

Jan 28, 2026 · Here we introduce Emu3, a family of multimodal models trained solely with next-token prediction.

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 AI expands on these generative capabilities, processing information from multiple modalities, including images, videos, and text. Multimodality can be thought of as giving AI the...