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Research on matrix transformation of AI media

Published: 01 February 2021 Publication History

Abstract

Objective The development of artificial intelligence technology has led to the transformation of communication carrier, communication medium and communication mode. Methods on the basis of mathematician Arthur Cayley's mathematical matrix theory, through the existing AI media communication mode in-depth analysis and research. Conclusion This paper summarizes the transformation characteristics of matrix from the research on the transformation of AI media. Change one is based on the matrix transformation of AI media communication mode; Change 2: the transformation of large matrix communication based on the Central computing power; Change 3: Transformation of small matrix communication based on terminal; Change 4: Transformation of robot matrix based on AI media.

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    EITCE '20: Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering
    November 2020
    1202 pages
    ISBN:9781450387811
    DOI:10.1145/3443467
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 01 February 2021

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    Author Tags

    1. AI Media
    2. matrix
    3. transformation

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    EITCE 2020

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    EITCE '20 Paper Acceptance Rate 214 of 441 submissions, 49%;
    Overall Acceptance Rate 508 of 972 submissions, 52%

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