Hyperdimensional Computing (HDC) leverages hypervectors—high-dimensional representations that store and process information holographically. This unique property allows hypervectors to be robust to noise and loss, making them powerful for AI, neuromorphic computing, and cognitive models. This article explores what 'holographic' means in the context of hypervectors and why it matters.
Hypervectors are the foundation of Hyperdimensional Computing (HDC), representing data in ultra-high-dimensional spaces. They enable robust, efficient, and brain-like computation, making them a powerful tool for AI, machine learning, and neuromorphic computing. This article explores the nature of hypervectors, their properties, and how they are used in HDC.