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Academic Articles & Research Papers
Showing 20 of 286 academic articles
Saqib Aziz, Michael Dowling • Palgrave studies in digital business & enabling technologies
(2018)
We explore how machine learning and artificial intelligence (AI) solutions are transforming risk management. A non-technical overview is first given of the main machine learning and AI techniques of benefit to risk managementRisk management...
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DOI: https://doi.org/10.1007/978-3-030-02330-0_3
Sarkar Siddique, James C. L. Chow • Encyclopedia
(2021)
Machine learning (ML) is a study of computer algorithms for automation through experience. ML is a subset of artificial intelligence (AI) that develops computer systems, which are able to perform tasks generally having need of human intelli...
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DOI: https://doi.org/10.3390/encyclopedia1010021
Khader Shameer, Kipp W. Johnson, Benjamin Scott Glicksberg, Joel T. Dudley et al. • Heart
(2018)
Artificial intelligence (AI) broadly refers to analytical algorithms that iteratively learn from data, allowing computers to find hidden insights without being explicitly programmed where to look. These include a family of operations encomp...
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DOI: https://doi.org/10.1136/heartjnl-2017-311198
Maximilian Pichler, Florian Hartig • Methods in Ecology and Evolution
(2023)
Abstract The popularity of machine learning (ML), deep learning (DL) and artificial intelligence (AI) has risen sharply in recent years. Despite this spike in popularity, the inner workings of ML and DL algorithms are often perceived as opa...
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DOI: https://doi.org/10.1111/2041-210x.14061
Hafsa Habehh, Suril Gohel • Current Genomics
(2021)
Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML) technology have brought on substantial strides in predicting and identifying health emergencies, disease populations, and disease state and immune response, among...
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Open Access
DOI: https://doi.org/10.2174/1389202922666210705124359
PMC: 8822225
Vijaya B. Kolachalama, Priya S. Garg • npj Digital Medicine
(2018)
Artificial intelligence (AI) driven by machine learning (ML) algorithms is a branch in computer science that is rapidly gaining popularity within the healthcare sector. Recent regulatory approvals of AI-driven companion diagnostics and othe...
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DOI: https://doi.org/10.1038/s41746-018-0061-1
PMC: 6550167
Feiyun Cui, Yun Yue, Yi Zhang, Ziming Zhang et al. • ACS Sensors
(2020)
Chemometrics play a critical role in biosensors-based detection, analysis, and diagnosis. Nowadays, as a branch of artificial intelligence (AI), machine learning (ML) have achieved impressive advances. However, novel advanced ML methods, es...
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DOI: https://doi.org/10.1021/acssensors.0c01424
Bernhard Schölkopf • ACM eBooks
(2022)
Graphical causal inference as pioneered by Judea Pearl arose from research on artificial intelligence (AI), and for a long time had little connection to the field of machine learning. This article discusses where links have been and should ...
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Open Access
DOI: https://doi.org/10.1145/3501714.3501755
Kareem Ayoub, Kenneth Payne • Journal of Strategic Studies
(2015)
We argue that Artificial Intelligence (AI) will, in the very near future, have a profound impact on the conduct of strategy and will be disruptive of existing power balances. To do so, we review the psychological foundations of strategy and...
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DOI: https://doi.org/10.1080/01402390.2015.1088838
Andrew Martin Cox, Suvodeep Mazumdar A • Journal of Librarianship and Information Science
(2022)
The aim of the paper is to define Artificial Intelligence (AI) for librarians by examining general definitions of AI, analysing the umbrella of technologies that make up AI, defining types of use case by area of library operation, and then ...
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DOI: https://doi.org/10.1177/09610006221142029
Michael Gofman, Zhao Jin • The Journal of Finance
(2023)
ABSTRACT We document an unprecedented brain drain of Artificial Intelligence (AI) professors from universities from 2004 to 2018. We find that students from the affected universities establish fewer AI startups and raise less funding. The b...
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DOI: https://doi.org/10.1111/jofi.13302
Chiara Longoni, Andrea Bonezzi, Carey K. Morewedge • Journal of Consumer Research
(2019)
Abstract Artificial intelligence (AI) is revolutionizing healthcare, but little is known about consumer receptivity to AI in medicine. Consumers are reluctant to utilize healthcare provided by AI in real and hypothetical choices, separate a...
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Open Access
DOI: https://doi.org/10.1093/jcr/ucz013
Harry Surden • bepress Legal Repository
(2019)
Much has been written recently about artificial intelligence (AI) and law. But what is AI, and what is its relation to the practice and administration of law? This article addresses those questions by providing a high-level overview of AI a...
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Mohammad Mofatteh • AIMS neuroscience
(2021)
Neurosurgeons receive extensive and lengthy training to equip themselves with various technical skills, and neurosurgery require a great deal of pre-, intra- and postoperative clinical data collection, decision making, care and recovery. Th...
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DOI: https://doi.org/10.3934/neuroscience.2021025
PMC: 8611194
Noémi Bontridder, Yves Poullet • Data & Policy
(2021)
Abstract Artificial intelligence (AI) systems are playing an overarching role in the disinformation phenomenon our world is currently facing. Such systems boost the problem not only by increasing opportunities to create realistic AI-generat...
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DOI: https://doi.org/10.1017/dap.2021.20
Ricardo Vinuesa, Hossein Azizpour, Iolanda Leite, Madeline Balaam et al. • Nature Communications
(2020)
The emergence of artificial intelligence (AI) and its progressively wider impact on many sectors requires an assessment of its effect on the achievement of the Sustainable Development Goals. Using a consensus-based expert elicitation proces...
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DOI: https://doi.org/10.1038/s41467-019-14108-y
PMC: 6957485
Anthony B. Lisacek-Kiosoglous, Amber S. Powling, Andreas Fontalis, Ayman Gabr et al. • Bone and Joint Research
(2023)
The use of artificial intelligence (AI) is rapidly growing across many domains, of which the medical field is no exception. AI is an umbrella term defining the practical application of algorithms to generate useful output, without the need ...
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DOI: https://doi.org/10.1302/2046-3758.127.bjr-2023-0111.r1
PMC: 10329876
Madalina Busuioc • Public Administration Review
(2020)
Artificial intelligence (AI) algorithms govern in subtle yet fundamental ways the way we live and are transforming our societies. The promise of efficient, low-cost, or "neutral" solutions harnessing the potential of big data has led public...
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DOI: https://doi.org/10.1111/puar.13293
PMC: 8518786
Gillian Pocock, M Hugh • Oxford University Press eBooks
(1993)
This chapter explores the extensive potential of artificial intelligence (AI), which has been recognized and harnessed by computer scientists, including physics and life sciences. It analyses how AI is applied to those areas of chemistry th...
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DOI: https://doi.org/10.1093/hesc/9780198557364.003.0001
John Howard • American Journal of Industrial Medicine
(2019)
Artificial intelligence (AI) is a broad transdisciplinary field with roots in logic, statistics, cognitive psychology, decision theory, neuroscience, linguistics, cybernetics, and computer engineering. The modern field of AI began at a smal...
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DOI: https://doi.org/10.1002/ajim.23037