High-Dimensional Computing as a Nanoscalable Paradigm.

We outline a model of computing with high-dimensional (HD) vectors-where the dimensionality is in the thousands. It is built on ideas from traditional (symbolic) computing and artificial neural nets/deep learning, and complements them with ideas from probability theory, statistics, and abstract algebra. Key properties of HD computing include a well-defined set of arithmetic operations on vectors, ...