A neural Turing machine (NTM) is a recurrent neural network model of a Turing machine. The approach was published by Alex Graves et al. in 2014. NTMs...

probabilities for the transitions, probabilistic Turing machines can be defined as deterministic Turing machines having an additional "write" instruction where...

Church's work intertwined with Turing's to form the basis for the Church–Turing thesis. This thesis states that Turing machines, lambda calculus, and other...

relationship between partial Turing machines and total Turing machines: Can every partial function computable by a partial Turing machine be extended (that is...

A quantum Turing machine (QTM) or universal quantum computer is an abstract machine used to model the effects of a quantum computer. It provides a simple...

science, a universal Turing machine (UTM) is a Turing machine capable of computing any computable sequence, as described by Alan Turing in his seminal paper...

A multi-tape Turing machine is a variant of the Turing machine that utilizes several tapes. Each tape has its own head for reading and writing. Initially...

Scotland Turing jump Turing Lecture Turing machine Alternating Turing machine Multi-track Turing machine Multitape Turing machine Neural Turing machine Non-deterministic...

In theoretical computer science, a nondeterministic Turing machine (NTM) is a theoretical model of computation whose governing rules specify more than...

processing. The Recursive Neural Tensor Network uses a tensor-based composition function for all nodes in the tree. Neural Turing machines (NTMs) are a method...

A Turing machine is a hypothetical computing device, first conceived by Alan Turing in 1936. Turing machines manipulate symbols on a potentially infinite...

to supplement the article Turing machine. The following table is Turing's very first example (Turing 1937): "1. A machine can be constructed to compute...

Zeno machines (abbreviated ZM, and also called accelerated Turing machine, ATM) are a hypothetical computational model related to Turing machines that...

Turing machine (or to be more precise, the definition of acceptance for such a machine) alternates between these modes. An alternating Turing machine...

In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a computational model inspired by the structure...

smartphone. Graves is also the creator of neural Turing machines and the closely related differentiable neural computer. In 2023, he wrote the paper Bayesian...

"Post–Turing program" and "Post–Turing machine" were used by Martin Davis in 1973–1974 (Davis 1973, p. 69ff). Later in 1980, Davis used the name "Turing–Post...

Turing machine or two-way deterministic finite-state automaton (2DFA) is class of models of computability that behave like a standard Turing machine and...

output examples. Differentiable neural computers (DNC) are an NTM extension. They out-performed Neural turing machines, long short-term memory systems...

A Turing machine is an abstract mathematical computational device named after Alan Turing; see the box for variants of this meaning. Turing machine may...

A Multitrack Turing machine is a specific type of multi-tape Turing machine. In a standard n-tape Turing machine, n heads move independently along n tracks...

than a traditional recurrent neural network. DNC networks were introduced as an extension of the Neural Turing Machine (NTM), with the addition of memory...

March 2016. Additional DeepMind accomplishments include creating a neural Turing machine, reducing the energy used by the cooling systems in Google's data...

A symmetric Turing machine is a Turing machine which has a configuration graph that is undirected (that is, configuration i yields configuration j if and...

2-state 5-symbol Turing machine, and conjectured that a particular 2-state 3-symbol Turing machine (hereinafter (2,3) Turing machine) might be universal...

(2014). "Neural Turing Machines". arXiv:1410.5401 [cs.NE]. Best of 2014: Google's Secretive DeepMind Startup Unveils a "Neural Turing Machine" Archived...

In theoretical computer science, a Turing machine is a theoretical machine that is used in thought experiments to examine the abilities and limitations...

Artificial neural networks (ANNs) are models created using machine learning to perform a number of tasks. Their creation was inspired by biological neural circuitry...

DeepMind introduced neural Turing machines (neural networks that can access external memory like a conventional Turing machine), resulting in a computer...

NTM may refer to: Neural Turing machine, a recurrent neural network model Nondeterministic Turing machine, a theoretical model of computation Nontuberculous...