High-Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality

Entropy (Basel). 2020 Jan 9;22(1):82. doi: 10.3390/e22010082.

Abstract

High-dimensional data and high-dimensional representations of reality are inherent features of modern Artificial Intelligence systems and applications of machine learning. The well-known phenomenon of the "curse of dimensionality" states: many problems become exponentially difficult in high dimensions. Recently, the other side of the coin, the "blessing of dimensionality", has attracted much attention. It turns out that generic high-dimensional datasets exhibit fairly simple geometric properties. Thus, there is a fundamental tradeoff between complexity and simplicity in high dimensional spaces. Here we present a brief explanatory review of recent ideas, results and hypotheses about the blessing of dimensionality and related simplifying effects relevant to machine learning and neuroscience.

Keywords: artificial intelligence; concentration of measure; data mining; discriminant; geometry; mistake correction.

Publication types

  • Review