
MULTIMODAL Definition & Meaning - Merriam-Webster
Dec 5, 2016 · The meaning of MULTIMODAL is having or involving several modes, modalities, or maxima. How to use multimodal in a sentence.
Multimodal learning - Wikipedia
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? - IBM
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 …
What is Multimodal Learning? | Discovery Education
Jan 6, 2026 · Discover what multimodal learning is, its benefits for engagement and retention, and practical ways teachers can implement it effectively.
MULTIMODAL | English meaning - Cambridge Dictionary
A multimodal agent may do this in multiple ways: through speech and intonation, facial expression and gaze, gesture, body movements and posture.
Why Multi-Modal AI is the Next Big Thing in Artificial Intelligence
6 days ago · Discover how multi-modal AI combines text, images, audio, and video to boost accuracy, improve decisions, and drive real enterprise adoption at scale.
Multimodal - What does it mean? - VARK Learn
Being Multimodal means that when learning, you prefer to use two or more of the four VARK modalities – VISUAL (V), AURAL (A), READ/WRITE (R), and KINESTHETIC (K) – rather than …
Powerful Multimodal AI Examples You Should See - Aivolut
Jan 6, 2026 · Explore powerful multimodal AI examples that combine text, images, and data. See how these systems are transforming real-world applications.
What is Multimodal AI? | Salesforce US
Multimodal AI is a type of artificial intelligence that can process and integrate information from multiple data formats, or "modalities," to understand and generate content in a more human …
What Are Multimodal Models: Benefits, Use Cases and …
Oct 13, 2025 · Learn about Multimodal Models. Explore their diverse applications, significance, and key components, and also learn how to create a multimodal model properly.