6 days ago · Multimodality shows up in how we communicate, learn, heal, and build AI. Here’s what it means across different fields with real examples.

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.

Recipes delivered through any medium, whether that be a cookbook or a blog, can be considered multimodal because of the "interaction between body, experience, knowledge, and memory, …

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, …

May 7, 2025 · Multimodal learning is an instructional approach that teaches content with multiple modes, or channels of communication. This means information helps learners remember through more than …

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

3 days ago · Discover how multimodal AI models work, their architecture, real-world use cases, and proven development workflows to build powerful AI systems.

Multimodal AI is the shift from models that interpret a single stream of information to systems that can read, connect, and reason across multiple data types in one pass.

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.