Results 131 to 140 of about 2,960,567 (255)
The other Turing machine [PDF]
The Computer Journal, 1977 Brian E. Carpenter, Robert W. Doran
openaire +1 more source
Pattern Formation in Non‐Equilibrium Architected Materials
Advanced Materials Technologies, Volume 11, Issue 10, 22 May 2026.This article demonstrates an artificial mechanical system ‐ a robotic metamaterial ‐ as an accessible and versatile platform within which to explore and prescribe the reaction‐diffusion driven pattern formation hitherto associated with comparatively less accessible and versatile non‐equilibrium biological and chemical systems.
Vinod Ramakrishnan, Michael J. Frazier
wiley +1 more source
Risk management in the era of data-centric engineering
Data-Centric EngineeringNovel methods of data collection and analysis can enhance traditional risk management practices that rely on expert engineering judgment and established safety records, specifically when key conditions are met: Analysis is linked to the decisions it is ...
Domenic Di Francesco
doaj +1 more source
MusicSwarm: Biologically Inspired Intelligence for Music Composition
Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.Biologically inspired swarms of frozen foundation models self‐organize to compose complex music without fine‐tuning. By coordinating through stigmergic signals, decentralized agents dynamically evolve specialized roles and adapt to solve complex tasks.
Markus J. Buehler
wiley +1 more source
Material‐Based Intelligence: Autonomous Adaptation and Embodied Computation in Physical Substrates
Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.This perspective formulates a unifying framework for Material‐Based Intelligence (MBI), defining the physical requirements for materials to achieve embodied action, active memory and embodied information processing through intrinsic nonequilibrium dynamics. The design of intelligent materials often draws parallels with the complex adaptive behaviors of
Vladimir A. Baulin +4 more
wiley +1 more source
Accelerated‐USE: A Benchmark Framework for GPU‐Driven Graph Neural Network Training
Concurrency and Computation: Practice and Experience, Volume 38, Issue 9, May 2026.ABSTRACT Graph processing is used in many domains to extract knowledge from real‐world data. With the rise of deep neural networks and scaled compute infrastructure in artificial intelligence (AI), specialized techniques emerged to leverage graphs in applications such as recommendation systems and social networks.
Lucas de Angelo Martins Ribeiro +5 more
wiley +1 more source
DJ4Earth: Differentiable, and Performance‐Portable Earth System Modeling via Program Transformations
Journal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.Abstract Differentiable Earth system models (ESMs) enable powerful applications such as sensitivity analysis, gradient‐based calibration, state estimation, boundary flux inversions, uncertainty quantification, and online machine learning. Reverse‐mode automatic differentiation (AD) efficiently provides gradients for such tasks, yet models have rarely ...
William S. Moses +19 more
wiley +1 more source
British Journal of Educational Technology, Volume 57, Issue 3, Page 619-638, May 2026.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
Computers and chess masters: The role of AI in transforming elite human performance
British Journal of Psychology, Volume 117, Issue 2, Page 585-609, May 2026.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
On-line turing machine recognition
Information and Control, 1968 Let U(n) be a monotone increasing function which is real-time computable, {if442-1}. Then it is possible to describe a set of words AU such that(1)AU is recognizable within the time bound T(n) = C1.U(n), for suitable {itC1};(2)If M is an on-line Turing machine which recognizes the set of words AU, then τM(n) > CM.U}(n) for infinitely many values of n ...
openaire +2 more sources