Results 61 to 70 of about 2,596,832 (272)
Refining Mark Burgin’s Case against the Church–Turing Thesis
PhilosophiesThe outputs of a Turing machine are not revealed for inputs on which the machine fails to halt. Why is an observer not allowed to see the generated output symbols as the machine operates?
Edgar Graham Daylight
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The Irrelevance of the Turing Test in Current Deep Learning
Profil, 2021 The role of artificial intelligence in the Turing test is to imitate human beings to such an extent that people will not realize it is a machine. With the rise of deep learning (a subcategory of AI), the situation is changing rapidly as the new systems ...
Ondrej Hriadel
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Would You Pass the Turing Test? Influencing Factors of the Turing Decision
Psychological Topics, 2022 We aimed to contribute to the emerging field of human-computer interaction by revealing some of the cues we use to distinguish humans from machines.
Adrienn Ujhelyi +2 more
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Turing-machines and the Entscheidungsproblem
Mathematische Annalen, 1962 Let Q be the set of all sentences of elementary quantification theory (without equality). In its semantic version Hilbert’s Entscheidungsproblem for a class X ⊇ Q of sentences is, [X]: To find a method which for every S ∈ X yields a decision as to whether or not S is satisfiable.
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Advanced Materials, EarlyView.This review explores the transformative role of AI in biosensor technology and provides a holistic interdisciplinary perspective that covers a broader scope of AI‐enabled biosensor technologies across various sectors including healthcare, environmental monitoring, food safety, and agriculture. It also highlights the important role of novel materials in
Tuğba Akkaş +4 more
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Turing machine universality of the game of life
, 2015 This project proves universal computation in the Game of Life cellular automaton by using a Turing machine construction. Existing proofs of universality in the Game of Life rely on a counter machine.
Paul W. Rendell
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Evolutionary model with Turing machines [PDF]
Physical Review E, 2008 16 pages, 7 ...
Fabio Musso, Giovanni Feverati
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Advanced Materials Technologies, EarlyView.A machine learning platform is developed to optimize sliced images for digital light processing 3D printing by locally tuning light intensity for higher precision printing. A reduced‐order model accurately predicts the degree of conversion in 3D space to calculate resulting shapes.
Teerapong Poltue +6 more
wiley +1 more source
, 2016 A novel computing model, called \emph{Probe Machine}, is proposed in this paper. Different from Turing Machine, Probe Machine is a fully-parallel computing model in the sense that it can simultaneously process multiple pairs of data, rather than ...
Xu, Jin
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Fuzzy Kolmogorov Complexity Based on a Classical Description
Entropy, 2020 In this paper, we give a definition for fuzzy Kolmogorov complexity. In the classical setting, the Kolmogorov complexity of a single finite string is the length of the shortest program that produces this string.
Songsong Dai
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