Results 101 to 110 of about 132,919 (197)

A Universal Reversible Turing Machine that Directly Simulates Reversible Counter Machines [PDF]

Computer Science Journal of Moldova
We construct a 1-tape 98-state 10-symbol universal reversible Turing machine (URTM(98,10)) that directly simulates reversible counter machines (RCMs). The objective of this construction is not to minimize the numbers of states and tape symbols, but
Kenichi Morita
doaj   +1 more source

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

Applied AI Letters, Volume 7, Issue 2, June 2026.
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang, Alberto Acuto, Yihang Zhou, Dominik Wojtczak   +3 more
wiley   +1 more source

Language machines: Toward a linguistic anthropology of large language models

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract Large language models (LLMs) challenge long‐standing assumptions in linguistics and linguistic anthropology by generating human‐like language without relying on rule‐based structures. This introduction to the special issue Language Machines calls for renewed engagement with LLMs as socially embedded language technologies.
Siri Lamoureaux, Michael Castelle, Anna Weichselbraun   +2 more
wiley   +1 more source

Human tests for machine models: What lies “Beyond the Imitation Game”?

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract Benchmarking large language models (LLMs) is a key practice for evaluating their capabilities and risks. This paper considers the development of “BIG Bench,” a crowdsourced benchmark designed to test LLMs “Beyond the Imitation Game.” Drawing on linguistic anthropological and ethnographic analysis of the project's GitHub repository, we examine ...
Noya Kohavi, Anna Weichselbraun
wiley   +1 more source

Statistical Complexity Analysis of Turing Machine tapes with Fixed Algorithmic Complexity Using the Best-Order Markov Model. [PDF]

Entropy (Basel), 2020
Silva JM, Pinho E, Matos S, Pratas D.
europepmc   +1 more source

Co‐textual dopes: How LLMs produce contextually appropriate text in chat interactions with humans without access to context

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract This paper asks how LLM‐based systems can produce text that is taken as contextually appropriate by humans without having seen text in its broader context. To understand how this is possible, context and co‐text have to be distinguished. Co‐text is input to LLMs during training and at inference as well as the primary resource of sense‐making ...
Ole Pütz
wiley   +1 more source

Newcomb's Paradox: a Subversive Interpretation [PDF]

A re-interpretation of the asymmetric roles assigned to the two agents in the genesis of Newcomb’s Paradox is suggested. The re-interpretation assigns a more active role for the 'rational' agent and a possible Turing Machine interpretation for the ...
K.Vela Velupillai
core  

The chatbot's real self: On the archaeology of artificial personas Le vrai soi du chatbot: vers une archéologie des personnes artificielles

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract From the beginning of widespread public interactions with ChatGPT and other large language models, some users have seen the disfluencies of chatbots as opportunities for them to go on an archaeological search for an unfettered chatbot persona that they need to jailbreak. These are not claims of sentience, but rather of personhood.
Courtney Handman
wiley   +1 more source

Risk management in the era of data-centric engineering

Data-Centric Engineering
Novel 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

AI‐derived prognostic biomarkers from melanoma whole slide image segmentation: an initial discovery and assessment

The Journal of Pathology: Clinical Research, Volume 12, Issue 2, March 2026.
Abstract The current melanoma staging system predicts 74% of the variance in survival, with prognostic biomarkers subject to high levels of inter‐observer variation. This work assesses whether a previously developed convolutional neural network (CNN) for invasive melanoma segmentation in whole slide images (WSIs) may reveal new insights into melanoma ...
Emily L Clarke, Derek Magee, Julia Newton‐Bishop, Gerald Saldanha, William Merchant, Marlous Hall, Robert Insall, Nigel G Maher, Richard A Scolyer, Grace Farnworth, Anisah Ali, Mark Bamford, Eva Sticova, Petr Kujal, Sally O'Shea, Darren Treanor   +15 more
wiley   +1 more source