Results 41 to 50 of about 2,074,957 (240)
Learning from AI : new trends in database technology [PDF]
Recently some researchers in the areas of database data modelling and knowledge representations in artificial intelligence have recognized that they share many common goals.
Bic, Lubomir, Gilbert, Jonathan P.
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ACE2: accurately learning subseasonal to decadal atmospheric variability and forced responses
Existing machine learning models of weather variability are not formulated to enable assessment of their response to varying external boundary conditions such as sea surface temperature and greenhouse gases.
Oliver Watt-Meyer +8 more
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Implementation of machine learning algorithms to create diabetic patient re-admission profiles
Background Machine learning is a branch of Artificial Intelligence that is concerned with the design and development of algorithms, and it enables today’s computers to have the property of learning.
Mohamed Alloghani +6 more
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Faith in the Algorithm, Part 1: Beyond the Turing Test [PDF]
Since the Turing test was first proposed by Alan Turing in 1950, the primary goal of artificial intelligence has been predicated on the ability for computers to imitate human behavior.
Pepe, Alberto, Rodriguez, Marko A.
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Seeking to compare the reasoning of human and artificial intelligence (AI) in the context of medical diagnosis is an overly optimistic anthropomorphism. The term AI, as used to describe machine learning algorithms employed in this domain, is itself a misnomer.
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Enhanced teaching team evaluation system for vocational colleges
Constructing an evaluation system for teaching teams is very important to promote the reform of teaching evaluation in higher vocational colleges. However, there is no existing artificial intelligence−based evaluation system for teaching teams that can ...
Qiming Tian +6 more
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This work presents a novel and versatile approach to employ textile capacitive sensing as an effective solution for capturing human body movement through fashionable and everyday-life garments.
Daniel Geißler +13 more
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Foundation Models Meet Medical Image Interpretation
Facing challenges such as limited annotated data and insufficient model generalization in medical deep learning, foundation models (FMs) are reshaping the paradigm of medical image interpretation through large-scale pretraining and efficient fine-tuning.
Licheng Jiao +11 more
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About artificial intelligence...
Early computers were used as automatic calculation tools. Later, as the Industrial Revolution began, manufacturing devices, were developed to automate more complex tasks, such as guiding weaving patterns on looms. It was not until 1950s, that the Computer Science began to be established as a defined academic discipline.
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Disability classification using machine learning on functional assessment data
The World Health Organization (WHO) estimates that over 1.3 billion people globally experience significant disabilities, a figure projected to exceed two billion by 2050.
Mohamed Abouelezz +2 more
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