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

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.

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 …

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 definition: 1. involving several ways of operating or dealing with something: 2. involving several ways of…. Learn more.

MULTIMODAL learners are flexible in their learning and communication preferences and can switch from modality to modality depending on what they are working on.

Jun 29, 2024 · Multimodal AI refers to artificial intelligence that can process multiple data inputs to produce more complex results. Multimodal AI is artificial intelligence that combines different types of …

Jan 28, 2026 · Here we introduce Emu3, a family of multimodal models trained solely with next-token prediction. Emu3 equals the performance of well-established task-specific models across both …

Multimodal AI combines text, images, audio, & video to enable enterprise reasoning, faster decisions, stronger governance, & reliable evidence-based workflows.

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.