Results 11 to 20 of about 1,007,642 (258)
Background China has empowered and continues to empower internet hospitals, which saw an increase in their development due to the pandemic, to fight against COVID-19.
Xuejiao Chen +6 more
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Communicative Learning: A Unified Learning Formalism
In this article, we propose a communicative learning (CL) formalism that unifies existing machine learning paradigms, such as passive learning, active learning, algorithmic teaching, and so forth, and facilitates the development of new learning methods ...
Luyao Yuan, Song-Chun Zhu
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Deep learning in bladder cancer imaging: A review
Deep learning (DL) is a rapidly developing field in machine learning (ML). The concept of deep learning originates from research on artificial neural networks and is an upgrade of traditional neural networks.
Mingyang Li +3 more
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TRCCBP: Transformer Network for Radar-Based Contactless Continuous Blood Pressure Monitoring
Contactless continuous blood pressure (BP) monitoring is of great significance for daily healthcare. Radar-based continuous monitoring methods typically extract time-domain features manually such as pulse transit time (PTT) to calculate the BP.
Xikang Jiang +5 more
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Asymptotically Unambitious Artificial General Intelligence
General intelligence, the ability to solve arbitrary solvable problems, is supposed by many to be artificially constructible. Narrow intelligence, the ability to solve a given particularly difficult problem, has seen impressive recent development ...
Cohen, Michael K +2 more
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Residual Convolutional Neural Network for Cardiac Image Segmentation and Heart Disease Diagnosis
Deep learning (DL) has been widely used in biomedical image segmentation and automatic disease diagnosis, leading to state-of-the-art performance. However, automated cardiac disease diagnosis heavily relies on cardiac segmentation maps from cardiac ...
Tao Liu +4 more
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Artificial Creativity and General Intelligence
It is hard to deny that the notions of creativity and intelligence are inherently connected. But what does this correlation amount to? The aim of this paper is to explore this question and to contribute to the discussion regarding the connections between
Caterina Moruzzi
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Automated temporalis muscle quantification and growth charts for children through adulthood
Lean muscle mass (LMM) is an important aspect of human health. Temporalis muscle thickness is a promising LMM marker but has had limited utility due to its unknown normal growth trajectory and reference ranges and lack of standardized measurement.
Anna Zapaishchykova +22 more
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Can Machine Intelligence be Measured in the Same Way as Human intelligence? [PDF]
In recent years the number of research projects on computer programs solving human intelligence problems in artificial intelligence (AI), artificial general intelligence, as well as in Cognitive Modelling, has significantly grown. One reason could be the
A Newell +25 more
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Generality in artificial intelligence
My 1971 Turing Award Lecture was entitled "Generality in Artificial Intelligence." The topic turned out to have been overambitious in that I discovered I was unable to put my thoughts on the subject in a satisfactory written form at that time. It would have been better to have reviewed my previous work rather than attempt something new, but such was ...
openaire +3 more sources

