Results 71 to 80 of about 134,383 (239)
, 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
core +2 more sources
Variance Matrix Priors for Dirichlet Process Mixture Models With Gaussian Kernels
International Statistical Review, EarlyView.Summary Bayesian mixture modelling is widely used for density estimation and clustering. The Dirichlet process mixture model (DPMM) is the most popular Bayesian non‐parametric mixture modelling approach. In this manuscript, we study the choice of prior for the variance or precision matrix when Gaussian kernels are adopted.
Wei Jing +2 more
wiley +1 more source
Turing complete neural computation based on synaptic plasticity.
PLoS ONE, 2019 In neural computation, the essential information is generally encoded into the neurons via their spiking configurations, activation values or (attractor) dynamics.
Jérémie Cabessa
doaj +1 more source
iScience, 2019 Summary: Every problem in computing can be cast as decision problems of whether strings are in a language or not. Computations and language recognition are carried out by three classes of automata, the most complex of which is the Turing machine.
Marta Dueñas-Díez +1 more
doaj +1 more source
Negative Interactions in Irreversible Self-Assembly
, 2010 This paper explores the use of negative (i.e., repulsive) interaction the abstract Tile Assembly Model defined by Winfree. Winfree postulated negative interactions to be physically plausible in his Ph.D.
D. Doty +6 more
core +3 more sources
Journal of Management Studies, EarlyView.Abstract The digital revolution is transforming global business practices. As organizations increasingly embed artificial intelligence (AI) within their operations, they face unprecedented uncertainty regarding future technological trajectories and competitive landscapes.
Chi Hon Li +3 more
wiley +1 more source
There Can Be No Turing-Test--Passing Memorizing Machines [PDF]
, 2014 Anti-behaviorist arguments against the validity of the Turing Test as a sufficient condition for attributing intelligence are based on a memorizing machine, which has recorded within it responses to every possible Turing Test interaction of up to a fixed
Shieber, Stuart M.
core +1 more source
Against the Manhattan project framing of AI alignment
Mind &Language, EarlyView.In response to the worry that autonomous generally intelligent artificial agents may at some point take over control of human affairs a common suggestion is that we should “solve the alignment problem” for such agents. We show that current discourse around this suggestion often uses a particular framing of artificial intelligence (AI) alignment as ...
Simon Friederich, Leonard Dung
wiley +1 more source
Artificial Creativity and Human Fragility
Modern Theology, EarlyView.Abstract This article critiques the widespread assumption that generative AI systems exhibit genuine artistic creativity. While such systems can produce novel and aesthetically appealing outputs, assessments based solely on results obscure fundamental differences between human and artificial agents.
Johanna Merz
wiley +1 more source