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Structure of associative heterarchical memory
Российский технологический журнал, 2022 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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Risk stratification and pathway analysis based on graph neural network and interpretable algorithm
BMC Bioinformatics, 2022 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]
, 2020 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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Artificial Intelligence Empowering Healthcare Services: Expert Consensus from the Mangrove Health Conference in 2025 [PDF]
Zhongguo quanke yixueArtificial intelligence (AI) demonstrates significant advantages in accelerating improvements in efficiency, accessibility, and precision of health services, thereby providing critical support for the implementation of a health-prioritized development ...
Expert Panel of the Consensus on Artificial Intelligence Empowering Healthcare Services
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Ethics of Artificial Intelligence [PDF]
, 2021 Artificial intelligence (AI) is a digital technology that will be of major importance for the development of humanity in the near future. AI has raised fundamental questions about what we should do with such systems, what the systems themselves should do,
Müller, Vincent C.
core
XAI-Explainable artificial intelligence [PDF]
, 2019 Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence ...
Choi, J. +5 more
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Feedback Control for Passivity of Memristor-Based Multiple Weighted Coupled Neural Networks
Discrete Dynamics in Nature and Society, 2022 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
Компьютерная оптика, 2023 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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Capital as Artificial Intelligence [PDF]
, 2015 This article examines science-fictional allegorizations of Soviet-style planned economies, financial markets, autonomous trading algorithms, and global capitalism writ large as nonhuman artificial intelligences, focussing primarily on American science ...
Canavan, Gerry
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EAGLE: Explicit Alternative Genome Likelihood Evaluator
BMC Medical Genomics, 2018 Background Reliable detection of genome variations, especially insertions and deletions (indels), from single sample DNA sequencing data remains challenging, partially due to the inherent uncertainty involved in aligning sequencing reads to the reference
Tony Kuo +3 more
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