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...

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.

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, …

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.

Mar 10, 2026 · Multimodal means using more than one mode, method, or channel to accomplish something. The word comes from the Latin “multi” (many) and “modus” (way or method).

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

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

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

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 …