AI from the point of view of ordinary language
Abstract I shall first consider two puzzles that illustrate the contrast between everyday experience or ordinary language, on the one hand, and scientific description on the other. What is common to them is simply that the ordinary description and the scientific description seem to conflict, and the philosopher is called upon to resolve the apparent ...
Gary Kemp
wiley +1 more source
Consequences of nonclassical measurement for the algorithmic description of continuous dynamical systems [PDF]
Continuous dynamical systems intuitively seem capable of more complex behavior than discrete systems. If analyzed in the framework of the traditional theory of computation, a continuous dynamical system with countably many quasistable states has at least
Fields, Chris
core +1 more source
Causal chain event graphs for remedial maintenance
Abstract The analysis of system reliability has often benefited from graphical tools such as fault trees and Bayesian networks. In this article, instead of conventional graphical tools, we apply a probabilistic graphical model called the chain event graph (CEG) to represent the failures and processes of deterioration of a system.
Xuewen Yu, Jim Q. Smith
wiley +1 more source
Edge of Chaos Theory Unveils the First and Simplest Ever Reported Hodgkin–Huxley Neuristor
This manuscript presents the first and simplest ever‐reported electrical cell, which leverages one memristor on Edge of Chaos to reproduce the three‐bifurcation cascade, marking the entire life cycle from birth to extinction via All‐to‐None effect of an electrical spike, also referred to as Action Potential, across axon membranes under monotonic ...
Alon Ascoli+12 more
wiley +1 more source
Statistical Complexity Analysis of Turing Machine tapes with Fixed Algorithmic Complexity Using the Best-Order Markov Model. [PDF]
Silva JM, Pinho E, Matos S, Pratas D.
europepmc +1 more source
Integrating CBAM and Squeeze‐and‐Excitation Networks for Accurate Grapevine Leaf Disease Diagnosis
This study presents a deep learning‐based model for classifying grape leaf diseases, including grape scab and downy mildew. Initially, pretrained models were used, followed by the integration of CBAM and SE attention modules to improve performance.
Yavuz Unal
wiley +1 more source
Seismic Wave Propagation Simulation With Quantum Computing
Abstract Nowadays, the utilization of quantum computing is on the rise, with its applications extending across numerous fields. This new computing paradigm is likely to inject fresh blood into the development of multiple disciplines. For a long time, solving the ill‐conditioned problem in geophysics has been an incredibly challenging topic.
Xixiang Wen, Yanfei Wang
wiley +1 more source
ABSTRACT Background The recent advent of powerful, exam‐passing large language models (LLMs) in public awareness has led to concerns over students cheating, but has also given rise to calls for including or even focusing education on LLMs. There is a perceived urgency to react immediately, as well as claims that AI‐based reforms of education will lead ...
Tobias Kohn
wiley +1 more source
Computing exponentially faster: implementing a non-deterministic universal Turing machine using DNA. [PDF]
Currin A+6 more
europepmc +1 more source
A mechanical Turing machine: blueprint for a biomolecular computer. [PDF]
Shapiro E.
europepmc +1 more source