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? 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, …

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种这样的模 …

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

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

4 days ago · Here, we present FuXi-Uni, a native unified multimodal model for scientific understanding and high-fidelity generation across scientific domains within a single architecture.

Nanjing University, Shanghai Artificial Intelligence Laboratory, and other institutions have jointly developed a series of video large models and multimodal large models, achieving world-leading...

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 …

2 days ago · Discover what multimodal learning is, its benefits for engagement and retention, and practical ways teachers can implement it effectively.

Example of multimodality: A televised weather forecast (medium) involves understanding spoken language, written language, weather specific language (such as temperature scales), geography, …