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.

模态（modal）是事情经历和发生的方式，我们生活在一个由多种模态（Multimodal）信息构成的世界，包括视觉信息、听觉信息、文本信息、嗅觉信息等等，当研究的问题或者数据集包含多 …

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

MultiModal 多模态学习（Multimodal Learning）是一种利用来自不同感官或交互方式的数据进行学习的方法，这些数据模态可能包括文本、图像、音频、视频等。

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

Dec 23, 2025 · Key Takeaways Multimodal learning is an instructional method that engages a variety of learning styles to increase retention and comprehension. While the VARK model …

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 …

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 …

Jul 2, 2025 · At its core, multimodal learning involves leveraging multiple modalities of information to improve learning, understanding, and decision-making. A modality refers to a specific …

We discuss existing definitions of multimodal-ity and argue that they are insufficient to de-fine multimodal tasks in the era of Machine Learning. We propose a task-relative definition of multi …