Results 41 to 50 of about 76,455 (141)

Tales of Cyberspace and Artificial Intelligence: Diverging Stakeholderships?

Global Policy, EarlyView.
ABSTRACT This article traces the evolution of the Internet from the 1990s to the 2020s and compares it with the development of Artificial Intelligence (AI), particularly following the public launch of ChatGPT in late 2022. It identifies both parallels and divergencies between these two overlapping technological domains, focusing on the growing ...
Johan Eriksson, Giampiero Giacomello
wiley   +1 more source

A topological exploration of convergence/divergence of human‐mediated and algorithmically mediated pedagogy

British Journal of Educational Technology, EarlyView.
We explore a topological model that situates teachers' agency as a constituent element within the convergent and divergent dynamics at the intersection of human‐mediated and algorithmically mediated pedagogies. Ubiquitous AI in education is designed to simulate, emulate and automate human processes and behaviours through datafication.
Keith Turvey, Norbert Pachler
wiley   +1 more source

Quantum Computers and Quantum Computer Languages: Quantum Assembly Language and Quantum C [PDF]

, 2002
We show a representation of Quantum Computers defines Quantum Turing Machines with associated Quantum Grammars. We then create examples of Quantum Grammars.
Blaha, Stephen
core   +1 more source

Computers and chess masters: The role of AI in transforming elite human performance

British Journal of Psychology, EarlyView.
Abstract Advances in Artificial Intelligence (AI) have made significant strides in recent years, often supplementing rather than replacing human performance. The extent of their assistance at the highest levels of human performance remains unclear. We analyse over 11.6 million decisions of elite chess players, a domain commonly used as a testbed for AI
Merim Bilalić, Mario Graf, Nemanja Vaci
wiley   +1 more source

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, Michail Papathomas, Silvia Liverani   +2 more
wiley   +1 more source

Trace Complexity of Chaotic Reversible Cellular Automata

, 2014
Delvenne, K\r{u}rka and Blondel have defined new notions of computational complexity for arbitrary symbolic systems, and shown examples of effective systems that are computationally universal in this sense.
A.R. Smith III, B. Durand, C.H. Bennett, H.B. Axelsen, J.-C. Delvenne, J.-C. Delvenne, M. Boyle, M. Cook, M. Nasu, P. Kůrka, R.L. Devaney, W. Thomas   +11 more
core   +1 more source

Examining the Effect of a Firm’s AI Specialization on the Technology Firms it Acquires: A Real Options Perspective

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, Steven Boivie, Gerry McNamara, Pok Man Tang   +3 more
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

Algorithmic Complexity for Short Binary Strings Applied to Psychology: A Primer

, 2013
Since human randomness production has been studied and widely used to assess executive functions (especially inhibition), many measures have been suggested to assess the degree to which a sequence is random-like.
A Aksentijevic, A Brady, A Chapanis, A Kolmogorov, A Lempel, A Miyake, A Turing, A Tversky, A Zvonkin, C Kidd, D Stoffers, DG Champernowne, E Mittenecker, E Tubau, Fernando Soler-Toscano, G Chaitin, G Schulter, H Heuer, H Proios, H Strenge, HA Simon, Hector Zenil, J Barbasz, J Cohen, J-P Delahaye, Jean-Paul Delahaye, JN Towse, K Chan, KI Taylor, L Shen, M Vandewiele, N Ginsburg, Nicolas Gauvrit, NJ Rinehart, P Brugger, P Martin-Löf, R Falk, R Nickerson, R Solomonoff, T Loetscher, T Loetscher, T Radò, U Hahn, V Becher   +43 more
core   +1 more source

THE FATHERS, COMPUTERS AND US

Modern Theology, EarlyView.
Abstract This essay, designed as a complement to opinions expressed by Rowan Williams and some speakers at the conference in his honour, explores features of early Christianity which suggest a positive evaluation of artificial intelligence. Noting that the fear of reducing humans to machines has been joined in the modern age by the fear that machines ...
Mark J. Edwards
wiley   +1 more source