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Artificial Intelligence for Health [PDF]
Health is one of the major research topics that has been attracting cross-disciplinary research groups [...]
Celesti, Antonio+3 more
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Structure of associative heterarchical memory
Objectives. Since the 20th century, artificial intelligence methods can be divided into two paradigms: top-down and bottom-up. While the methods of the ascending paradigm are difficult to interpret as natural language outputs, those applied according to ...
R. V. Dushkin+3 more
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Artificial Intelligence in Higher Education: Perspicacity Relation between Educators and Students [PDF]
Artificial intelligence is a system with the nature of human intelligence that can automatically provide knowledge and information to create intelligent applications to make it easier to solve problems such as problem-solving, speech recognition, and ...
Bali, Muhammad Mushfi El Iq+2 more
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Risk stratification and pathway analysis based on graph neural network and interpretable algorithm
Background Pathway-based analysis of transcriptomic data has shown greater stability and better performance than traditional gene-based analysis. Until now, some pathway-based deep learning models have been developed for bioinformatic analysis, but these
Bilin Liang, Haifan Gong, Lu Lu, Jie Xu
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Precision medicine and artificial intelligence : a pilot study on deep learning for hypoglycemic events detection based on ECG [PDF]
Tracking the fluctuations in blood glucose levels is important for healthy subjects and crucial diabetic patients. Tight glucose monitoring reduces the risk of hypoglycemia, which can result in a series of complications, especially in diabetic patients ...
Pecchia, Leandro+3 more
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Feedback Control for Passivity of Memristor-Based Multiple Weighted Coupled Neural Networks
This paper investigates the passivity of multiple weighted coupled memristive neural networks (MWCMNNs) based on the feedback control. Firstly, a kind of memristor-based coupled neural network model with multiple weights is presented for the first time ...
Xiang-Bo Wang+4 more
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Many heads but one brain: FusionBrain – a single multimodal multitask architecture and a competition
Supporting the current trend in the AI community, we present the AI Journey 2021 Challenge called FusionBrain, the first competition which is targeted to make a universal architecture which could process different modalities (in this case, images, texts,
D.D. Bakshandaeva+10 more
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Background The last decade has seen a major increase in the availability of genomic data. This includes expert-curated databases that describe the biological activity of genes, as well as high-throughput assays that measure gene expression in bulk tissue
Haripriya Harikumar+4 more
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Artificial intelligence (AI) is loosely defined as machines that can accomplish tasks that humans would accomplish through thinking. This definition does not say anything about AI achieving this performance in ways similar to how we humans do it, however. The term artificial intelligence is used with two meanings.
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