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Artificial Intelligence

John Haugeland • The MIT Press eBooks (1989)

"Machines who think—how utterly preposterous," huff beleaguered humanists, defending their dwindling turf. "Artificial Intelligence—it's here and about to surpass our own," crow techno-visionaries, proclaiming dominion. It's so simple and o...

OPENALEX DOI: https://doi.org/10.7551/mitpress/1170.001.0001

Artificial Intelligence: The Very Idea.

Barbara Von Eckardt, John Haugeland • The Philosophical Review (1988)

The idea that human thinking and machine computing are radically the same provides the central theme for this marvelously lucid and witty book on what artificial intelligence is all about. Although presented entirely in nontechnical...

OPENALEX DOI: https://doi.org/10.2307/2185277

Artificial Intelligence in Cardiology

Kipp W. Johnson, Jessica Torres Soto, Benjamin Scott Glicksberg, Khader Shameer et al. • Journal of the American College of Cardiology (2018)

Artificial intelligence and machine learning are poised to influence nearly every aspect of the human condition, and cardiology is not an exception to this trend. This paper provides a guide for clinicians on relevant aspects of artificial ...

OPENALEX cc-by DOI: https://doi.org/10.1016/j.jacc.2018.03.521

Managing artificial intelligence

Paul R. Krausman • Journal of Wildlife Management (2023)

By the time you finish reading this editorial about artificial intelligence (AI), it will be outdated; the AI field is growing beyond the imagination of many. One cannot even look at the news without finding something about AI: duplication ...

OPENALEX other-oa DOI: https://doi.org/10.1002/jwmg.22492

Artificial Intelligence

Mark Kac, Gian‐Carlo Rota, Jacob T. Schwartz • Birkhäuser Boston eBooks (1992)

Scientists Doing Research On Artificial Intelligence are still far from their ultimate goal — a computer-based analog of the human brain. Nevertheless, their efforts have regularly produced results useful in applied computer science. For ex...

OPENALEX DOI: https://doi.org/10.1007/978-0-8176-4775-9_16

Artificial intelligence

Gheorghe D. Tecuci • Wiley Interdisciplinary Reviews Computational Statistics (2011)

Abstract Artificial intelligence (AI) is the Science and Engineering domain concerned with the theory and practice of developing systems that exhibit the characteristics we associate with intelligence in human behavior. Starting with a brie...

OPENALEX DOI: https://doi.org/10.1002/wics.200

Artificial Intelligence

David Poole, Alan K. Mackworth • Cambridge University Press eBooks (2017)

Artificial intelligence, including machine learning, has emerged as a transformational science and engineering discipline. Artificial Intelligence: Foundations of Computational Agents presents AI using a coherent framework to study the desi...

OPENALEX DOI: https://doi.org/10.1017/9781108164085

Artificial intelligence

Kathleen McGrow • Nursing (2019)

Artificial intelligence (AI) is a transformational technology that will affect all healthcare providers. This article offers an overview of basic AI concepts and the role of nurses in embracing this technology in healthcare settings....

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1097/01.nurse.0000577716.57052.8d PMC: 6716553

What Is Artificial Intelligence?

Al Naqvi • Wiley eBooks (2020)

The problems with audit quality, almost in every case, are human related and not procedural. In other words, the issues existed not because the audit methods failed or were not sufficient to perform a quality audit, but because of human err...

OPENALEX DOI: https://doi.org/10.1002/9781119601906.ch3

ID-Det: Insulator Burst Defect Detection from UAV Inspection Imagery of Power Transmission Facilities

Shangzhe Sun, Chi Chen, Bisheng Yang, Zhengfei Yan et al. • Drones (2024)

The global rise in electricity demand necessitates extensive transmission infrastructure, where insulators play a critical role in ensuring the safe operation of power transmission systems. However, insulators are susceptible to burst defec...

DOAJ Open Access (DOAJ) DOI: 10.3390/drones8070299

GREEN FINANCE IN THE CONTEXT OF CLIMATE CHANGE: A BIBLIOMETRIC ANALYSIS OF THE ACADEMIC LITERATURE (2001–2025)

SPULBAR CRISTI, DUPIR MIHAI CATALIN • Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie (2026)

This article analyses the evolution, structure, and dynamics of the academic literature on green finance in the context of climate change, using a bibliometric approach applied to publications indexed in the Web of Science – Core Collec...

DOAJ Open Access (DOAJ)

Accidental injustice: Healthcare AI legal responsibility must be prospectively planned prior to its adoption

Kit Fotheringham, Helen Smith • Future Healthcare Journal (2024)

This article contributes to the ongoing debate about legal liability and responsibility for patient harm in scenarios where artificial intelligence (AI) is used in healthcare.We note that due to the structure of negligence liability in Engl...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.fhj.2024.100181

Electromagnetic Field Distribution Mapping: A Taxonomy and Comprehensive Review of Computational and Machine Learning Methods

Yiannis Kiouvrekis, Theodor Panagiotakopoulos • Computers (2025)

Electromagnetic field (EMF) exposure mapping is increasingly important for ensuring compliance with safety regulations, supporting the deployment of next-generation wireless networks, and addressing public health concerns. While numerous su...

DOAJ Open Access (DOAJ) DOI: 10.3390/computers14090373

Silhouette-driven contrastive learning with hierarchical neighborhood structure for unsupervised clothes change person re-identification

Mingkun Li, Peng Xu • CAAI Artificial Intelligence Research (2026)

This paper addresses a highly challenging yet critical task: unsupervised person re-identification (Re-ID) under clothing changes. Unfortunately, existing unsupervised person Re-ID methods are mainly designed for short-term scenarios that r...

DOAJ Open Access (DOAJ) DOI: 10.26599/AIR.2025.9150050