What is it about?
The article overviews an area of research known jointly by names Hyperdimensional Computing and Vector Symbolic Architectures. This is the first part of the survey and it describes, for example, fundamentals of the area, how to transform input data into suitable format, and how to represent data structures.
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Why is it important?
The area has been growing actively for few years. However, historically, it is having roots in several disciplines and so create a thorough overview of the area is not trial. This article simplifies this task by providing a detailed account for publications in the area and guding reader through various important aspects of Hyperdimensional Computing/Vector Symbolic Architectures. It was written to be useful for both newcomers and practitioners.
Read the Original
This page is a summary of: A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations, ACM Computing Surveys, December 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3538531.
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