bits. Complex computations can then be computed by simple bit-wise operations on the streams. Stochastic computing is distinct from the study of randomized...

Unconventional computing (also known as alternative computing or nonstandard computation) is computing by any of a wide range of new or unusual methods...

Architecture with Sequential Logic-Based Stochastic Computing". ACM Journal on Emerging Technologies in Computing Systems. 13 (4): 57:1–57:28. doi:10.1145/3060537...

In probability theory and related fields, a stochastic (/stəˈkæstɪk/) or random process is a mathematical object usually defined as a family of random...

better than "true" stochastic gradient descent described, because the code can make use of vectorization libraries rather than computing each step separately...

calculus to stochastic processes such as Brownian motion (see Wiener process). It has important applications in mathematical finance and stochastic differential...

Convolution kernel Stochastic kernel, the transition function of a stochastic process Transition kernel, a generalization of a stochastic kernel Pricing kernel...

Stochastic optimization (SO) are optimization methods that generate and use random variables. For stochastic optimization problems, the objective functions...

The stochastic block model is a generative model for random graphs. This model tends to produce graphs containing communities, subsets of nodes characterized...

Alaghi, A.; Hayes, J. P. (2013). "Survey of Stochastic Computing". ACM Transactions on Embedded Computing Systems. 12 (2s): 1. doi:10.1145/2465787.2465794...

In mathematics, a stochastic matrix is a square matrix used to describe the transitions of a Markov chain. Each of its entries is a nonnegative real number...

subtly incorrect. Stochastic computing was introduced by von Neumann in 1953, but could not be implemented until advances in computing of the 1960s. Around...

programming, stochastic dynamic programming represents the problem under scrutiny in the form of a Bellman equation. The aim is to compute a policy prescribing...

t-distributed stochastic neighbor embedding (t-SNE) is a statistical method for visualizing high-dimensional data by giving each datapoint a location in...

probability theory and statistics, a Markov chain or Markov process is a stochastic process describing a sequence of possible events in which the probability...

values of functions which cannot be computed directly, but only estimated via noisy observations. In a nutshell, stochastic approximation algorithms deal with...

alternatively, large computing clusters may be composed of many relatively simple, replaceable server components. The use of the word server in computing comes from...

A stochastic simulation is a simulation of a system that has variables that can change stochastically (randomly) with individual probabilities. Realizations...

In numerical analysis, stochastic tunneling (STUN) is an approach to global optimization based on the Monte Carlo method-sampling of the function to be...

population Diffusion process, a solution to a stochastic differential equation Empirical process, a stochastic process that describes the proportion of objects...

technique, or the term parallel ray tracing in reference to parallel computing. Global illumination Monte Carlo method Ray tracing Stochastic rasterization...

July 2013 BigInsight Norsk Regnesentral / Norwegian Computing Center (homepage) Norwegian Computing Center's annual public reports Tribute to Kristen Nygaard...

any synchronicity among them. This is useful in stochastic computing, also known as Random Pulse Computing (RPC)[1], where many information-processing circuits...

images. Unsupervised pre-training and increased computing power from GPUs and distributed computing allowed the use of larger networks, particularly...

The bit is the most basic unit of information in computing and digital communication. The name is a portmanteau of binary digit. The bit represents a...

Ubiquitous computing (or "ubicomp") is a concept in software engineering, hardware engineering and computer science where computing is made to appear seamlessly...

In mathematics, stochastic geometry is the study of random spatial patterns. At the heart of the subject lies the study of random point patterns. This...

mathematical finance to compute the sensitivities of financial derivatives. The calculus has applications in, for example, stochastic filtering. Malliavin...

In statistics, stochastic volatility models are those in which the variance of a stochastic process is itself randomly distributed. They are used in the...

architecture and worked on linear programming, self-replicating machines, stochastic computing), and statistics. Emmy Noether was an influential mathematician known...