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A multimodal interface provides several distinct tools for input and output of data. Multimodal human-computer interaction involves natural communication with virtual and physical environments. It facilitates free and natural communication between users and automated systems, allowing flexible input (speech, handwriting, gestures) and output ...
Multimodal Architecture and Interfaces is an open standard developed by the World Wide Web Consortium since 2005. It was published as a Recommendation of the W3C on October 25, 2012. The document is a technical report specifying a multimodal system architecture and its generic interfaces to facilitate integration and multimodal interaction ...
In the context of human–computer interaction, a modality is the classification of a single independent channel of input/output between a computer and a human. Such channels may differ based on sensory nature (e.g., visual vs. auditory), [1] or other significant differences in processing (e.g., text vs. image). [2]
Multimodal learning, machine learning methods using multiple input modalities; Multimodal transport, a contract for delivery involving the use of multiple modes of goods transport; Multimodality, the use of several modes (media) in a single artifact; Multimodal logic modal logic that has more than one primitive modal operator
Multimodality can be used particularly for meaning construction, for example in institutional theory, multimodal compositions can enhance the perceived validity of particular narratives. [76] Multimodal methods may also be used to deinstitutionalize unsustainable parts of an institution in order to sustain the institution. [ 77 ]
Modula-3 is a programming language conceived as a successor to an upgraded version of Modula-2 known as Modula-2+.It has been influential in research circles (influencing the designs of languages such as Java, C#, Python [8] and Nim), but it has not been adopted widely in industry.
A modal logic with n primitive unary modal operators , {, …,} is called an n-modal logic.Given these operators and negation, one can always add modal operators defined as if and only if , to give a classical multimodal logic if it is in addition stable under necessitation (or "possibilization", therefore) of both members of provable equivalences.
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.This integration allows for a more holistic understanding of complex data, improving model performance in tasks like visual question answering, cross-modal retrieval, [1] text-to-image generation, [2] aesthetic ranking, [3] and ...