Stochastic and Unary Computing are new methods of computation that rely on not binary, but unary (base 1) representation of numbers. Proposed by Von Neumann in the early days of computing and soon abandoned in favor of Binary, the method has great advantages for calculating complicated functions that traditionally need polynomial expansions. The number representation is quite simple, making computations easy, at the cost of scalability. We will go over the short history of the evolution of stochastic computing, with more advanced versions proposed in recent years, making them practical methods for modern applications.
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