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Fabio Cumbo https://www.pyohio.org/2024/program/t... Vector\-Symbolic Architectures (a.k.a. Hyperdimensional Computing) is a relatively new computational paradigm that involves the use of random vectors in a high\-dimensional space to represent and process information. As a computational paradigm, it finds applications in a wide range of fields, including artificial intelligence, natural language processing, internet\-of\-things, robotics, bioinformatics, and other scientific domains. Here we are going to introduce some fundamental concepts at the base of Hyperdimensional Computing, following a presentation of *hdlib*, a library for building Vector\-Symbolic Architectures with Python. Finally, we are going to see how to easily build a machine learning model based on the Hyperdimensional Computing paradigm as a practical use case. As a reference, hdlib is open\-source, it is available on GitHub at [https://github.com/cumbof/hdlib](https://github.com/cumbof/hdlib), and it is published on the Journal of Open Source Software at [[https://doi.org/10\.21105/joss.05704](https://doi.org/10.21105/joss.05704)](https://doi.org/10.21105/joss.05704). #PyOhio #Python The 17th annual PyOhio held July 27-28 in Cleveland, OH. === https://PyOhio.org Founded in 2008, PyOhio is a free annual Python programming language community conference based in Ohio. Content ranges from beginner to advanced and is intended to be relevant to all types of Python users: students, software professionals, scientists, hobbyists, and anyone looking to learn more. Produced by NDV: / @nextdayvideo Sun Jul 28 14:00:00 2024 at Calypso