Author: Michiel Stock (michiel.stock@ugent.be)
This is an accessible tutorial about hyperdimensional computing (HDC), with an emphasis to the life sciences. We start from the basics, explaining the mathematics of high-dimensional spaces, the logic of the operations of HDC and its applications. Everything is supported by interactive examples, where you will:
- compare amino acids;
- build a language classifier;
- compute with colors;
- learn how to design a transmembrane domain for synthetic biology.
Course material:
Much of this tutorial is based on our review paper:
Stock, M., Criekinge, W.V., Boeckaerts, D., Taelman, S., Haeverbeke, M.V., Dewulf, P., Baets, B.D., 2024. Hyperdimensional computing: A fast, robust, and interpretable paradigm for biological data. PLOS Computational Biology 20, e1012426. https://doi.org/10.1371/journal.pcbi.1012426 (link)