Question: The creater of von Neumann's inequality, was what nationality?

Context articles: Von Neumann universal constructor
Von Neumann neighborhood
Enveloping von Neumann algebra
Finite-dimensional von Neumann algebra
John von Neumann
The Computer and the Brain
Von Neumann's inequality
Semantic neural network
Direct integral
Von Neumann architecture

John von Neumann's Universal Constructor is a self-replicating machine in a cellular automata (CA) environment.
 It was designed in the 1940s, without the use of a computer.
 The fundamental details of the machine were published in von Neumann's book "Theory of Self-Reproducing Automata", completed in 1966 by Arthur W. Burks after von Neumann's death.
In cellular automata, the von Neumann neighborhood is classically defined on a two-dimensional square lattice and is composed of a central cell and its four adjacent cells.
 The neighborhood is named after John von Neumann, who used it to define the von Neumann cellular automaton and the von Neumann universal constructor within it.
 It is one of the two most commonly used neighborhood types for two-dimensional cellular automata, the other one being the Moore neighborhood.
In operator algebras, the enveloping von Neumann algebra of a C*-algebra is a von Neumann algebra that contains all the operator-algebraic information about the given C*-algebra.
 This may also be called the "universal" enveloping von Neumann algebra, since it is given by a universal property; and (as always with von Neumann algebras) the term "W*-algebra" may be used in place of "von Neumann algebra".
In mathematics, von Neumann algebras are self-adjoint operator algebras that are closed under a chosen operator topology.
 When the underlying Hilbert space is finite-dimensional, the von Neumann algebra is said to be a finite-dimensional von Neumann algebra.
 The finite-dimensional case differs from the general von Neumann algebras in that topology plays no role and they can be characterized using Wedderburn's theory of semisimple algebras.
John von Neumann ( ; Hungarian: "Neumann János Lajos" , ] ; December 28, 1903 – February 8, 1957) was a Hungarian-American mathematician, physicist, and computer scientist.
 He made major contributions to a number of fields, including mathematics (foundations of mathematics, functional analysis, ergodic theory, representation theory, operator algebras, geometry, topology, and numerical analysis), physics (quantum mechanics, hydrodynamics, and quantum statistical mechanics), economics (game theory), computing (Von Neumann architecture, linear programming, self-replicating machines, stochastic computing), and statistics.
The Computer and the Brain is an unfinished book by mathematician John von Neumann, begun shortly before his death and first published in 1958.
 Von Neumann was an important figure in computer science, and the book discusses how the brain can be viewed as a computing machine.
 The book is speculative in nature, but von Neumann discusses several important differences between brains and computers of his day (such as processing speed and parallelism), as well as suggesting directions for future research.
In operator theory, von Neumann's inequality, due to John von Neumann, states that, for a fixed contraction "T", the polynomial functional calculus map is itself a contraction.
Semantic neural network (SNN) is based on John von Neumann's neural network <nowiki>[</nowiki>von Neumann, 1966<nowiki>]</nowiki> and Nikolai Amosov M-Network.
 There are limitations to a link topology for the von Neumann’s network but SNN accept a case without these limitations.
 Only logical values can be processed, but SNN accept that fuzzy values can be processed too.
 All neurons into the von Neumann network are synchronized by tacts.
 For further use of self-synchronizing circuit technique SNN accepts neurons can be self-running or synchronized.
In mathematics and functional analysis a direct integral is a generalization of the concept of direct sum.
 The theory is most developed for direct integrals of Hilbert spaces and direct integrals of von Neumann algebras.
 The concept was introduced in 1949 by John von Neumann in one of the papers in the series "On Rings of Operators".
 One of von Neumann's goals in this paper was to reduce the classification of (what are now called) von Neumann algebras on separable Hilbert spaces to the classification of so-called factors.
 Factors are analogous to full matrix algebras over a field, and von Neumann wanted to prove a continuous analogue of the Artin–Wedderburn theorem classifying semi-simple rings.
The von Neumann architecture, which is also known as the von Neumann model and Princeton architecture, is a computer architecture based on that described in 1945 by the mathematician and physicist John von Neumann and others in the "First Draft of a Report on the EDVAC".
 This describes a design architecture for an electronic digital computer with parts consisting of a processing unit containing an arithmetic logic unit and processor registers; a control unit containing an instruction register and program counter; a memory to store both data and instructions; external mass storage; and input and output mechanisms.
 The meaning has evolved to be any stored-program computer in which an instruction fetch and a data operation cannot occur at the same time because they share a common bus.
 This is referred to as the von Neumann bottleneck and often limits the performance of the system.