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.

Dec 5, 2016 · The meaning of MULTIMODAL is having or involving several modes, modalities, or maxima. How to use multimodal in a sentence.

2 days ago · What multimodal AI is and how it works Multimodal AI is emerging as part of the fast-moving world of AI technology, bringing together multiple types and modalities of data to build a …

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

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.

Jun 29, 2024 · Multimodal AI is artificial intelligence that combines different types of data or patterns to make more accurate decisions, make recommendations, or predict real-world problems.

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 …

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.

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...