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.

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...

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

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

3 days ago · Multimodal learning combines visual, auditory, and kinesthetic methods to improve understanding, retention, and engagement in education and training.

4 days ago · Explore 15 innovative multimodal AI applications in 2026 with real-world examples across healthcare, finance, retail, and autonomous systems.

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 …

Apr 1, 2026 · Multimodal AI refers to artificial intelligence systems that can process, understand, and generate content across multiple data types -- such as text, images, audio, and video -- within a …

2 days ago · Unified multimodal modeling is an approach that designs machine learning architectures to jointly understand, generate, and reason over diverse data types. It employs techniques like discrete …