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.

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

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...

Multimodal AI refers to artificial intelligence systems that can process, understand, and generate multiple types of data modalities simultaneously—such as text, images, audio, and video. Unlike traditional AI …

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 …