Results 201 to 210 of about 131,744 (288)

Process and Dynamics in AI and Language Use

Topics in Cognitive Science, EarlyView.
Abstract In this volumed, Randall Beer and Joanna Rączaszek‐Leonardi have opened an important discussion of what is further needed to enhance the reach of dynamical approaches to cognition. Focusing on issues concerning the nature of language and developments in language technology, we have attempted, in this brief contribution, to place their ...
Eleni Gregoromichelaki, Gregory J. Mills
wiley   +1 more source

Do Humans Use Push-Down Stacks When Learning or Producing Center-Embedded Sequences? [PDF]

Cogn Sci
Ferrigno S, Cheyette SJ, Carey S.
europepmc   +1 more source

Learning and liking of melody and harmony: further studies in artificial grammar learning. [PDF]

Top Cogn Sci, 2012
Loui P.
europepmc   +1 more source

Applications of large‐scale artificial intelligence models in bioinformatics

Quantitative Biology, Volume 14, Issue 2, June 2026.
Abstract Large‐scale artificial intelligence (AI) models can mine potential patterns from massive amounts of data and provide more accurate analyses. This capability has enabled its gradual application in various areas of bioinformatics. However, few reviews have comprehensively summarized the applications of different types of large‐scale AI models in
Mingjing Li, Qichen Shang, Ziyang Dong, Zhixuan You, Le Zhang, Ming Xiao   +5 more
wiley   +1 more source

Telecological Collapse: The Inevitability of Climate Breakdown in the Transmedial Podcast Drama Forest 404

Future Humanities, Volume 4, Issue 1, May 2026.
ABSTRACT This paper presents a close‐hearing analysis of Forest 404, a transmedial audio drama that was released to BBC Sounds in 2019. Despite the drama's eco‐dystopian critique of teleological ‘progress’ narratives (that enable and perpetuate the destruction of the natural world), I argue that the series ultimately propagates a sense of inevitability
Matilda Jones
wiley   +1 more source

Enhancing creative writing through AI-powered co-creation with cognitive and emotional outcomes. [PDF]

Sci Rep
Cen X, Shakibaei G.
europepmc   +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

Response to the Letter to the Editor "Advancing Clinical and Ethical Dimensions of Deep Learning in Cardiovascular Imaging". [PDF]

Health Sci Rep
Verma A, Uniyal P, Banerjee SP.
europepmc   +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

Nonhuman situational enmeshments—How participants build temporal infrastructures for ChatGPT

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract This paper investigates how participants recruit Large Language Models (LLMs) like ChatGPT as interactional co‐participants depending on their temporal enmeshment within an interactional flow. Using Charles Goodwin's co‐operative action framework, we analyze video data of human–AI interaction to trace the temporal structures established by ...
Nils Klowait, Maria Erofeeva
wiley   +1 more source