Results 1 to 10 of about 516,443 (166)

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, V. A. Lelekova, V. Y. Stepankov, S. Fadeeva   +3 more
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Artificial intelligence

IEEE Instrumentation & Measurement Magazine, 2020
Based on the principle of dialectic symmetry formulated by the philosophy of dialectic positivism, an interpretation of the concept of "artificial intelligence" is proposed. This principle assumes the existence of a hierarchy of information objects, similar to the hierarchy, which reflects different levels of organization of matter (mechanical ...
Ibragim E. Suleimenov, Yelizaveta S. Vitulyova, Akhat S. Bakirov, Oleg A. Gabrielyan   +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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Artificial Intelligence Empowering Healthcare Services: Expert Consensus from the Mangrove Health Conference in 2025 [PDF]

Zhongguo quanke yixue
Artificial 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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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, D.V. Dimitrov, V.S. Arkhipkin, A.V. Shonenkov, M.S. Potanin, D.K. Karachev, A.V. Kuznetsov, A.D. Voronov, A.A. Petiushko, V.F. Davydova, E.V. Tutubalina   +10 more
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Needs and artificial intelligence

AI and Ethics, 2022
AbstractThroughout our history, we, Homo sapiens, have used technologies to better satisfy ourneeds. The relation betweenneedsandtechnologyis so fundamental that the US National Research Council defines the distinguishing characteristic of technology as its goal “to make modifications in the world [in order] to meet human needs” [1].
Human, Soheil, Watkins, Ryan
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Artificial intelligence in space [PDF]

CoRR, 2020
In the next coming years, space activities are expected to undergo a radical transformation with the emergence of new satellite systems or new services which will incorporate the contributions of artificial intelligence and machine learning defined as covering a wide range of innovations from autonomous objects with their own decision-making power to ...
George Anthony Gal, Cristiana Teixeira Santos, Lucien Rapp, Réka Markovich, Leendert W. N. van der Torre   +4 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, Hong-An Tang, Qingling Xia, Quanjun Zhao, Gang-Yi Tan   +4 more
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Artificial intelligence and statistics [PDF]

Frontiers of Information Technology & Electronic Engineering, 2018
Artificial intelligence (AI) is intrinsically data-driven. It calls for the application of statistical concepts through human-machine collaboration during generation of data, development of algorithms, and evaluation of results. This paper discusses how such human-machine collaboration can be approached through the statistical concepts of population ...
Bin Yu, Karl Kumbier
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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, Martin C. Frith, Jun Sese, Paul Horton   +3 more
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