The (not so surprising) similarities between HDC algebras
How HRR, BSC, and MAP implement the same broad VSA computation shape despite using different hyperspaces and mathematical operations.
Topic
Concepts
A gentle, visual introduction to hyperdimensional computing: encoding data, associative search, and relationships.
Concepts
Showing 6–10 of 13 posts
Why connected data needs associative search
Graph search follows exact relationships, while associative search finds similar situations from incomplete examples.
How HDC complements deep learning
Why the future of AI may be hybrid: deep learning learns powerful representations, while HDC complements it with compositional operations, associative memory, and lightweight adaptation.
Where does meaning in a hypervector come from?
How projecting learned representations brings useful notions of similarity into hypervector space.
Why permutation matters in HDC
An introduction to the role of permutation in hyperdimensional computing and how it preserves structural information in ways that multiplicative binding cannot.
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