Titlebook: Human Brain and Artificial Intelligence; Second International Yueming Wang Conference proceedings 2021 Springer Nature Singapore Pte Ltd. 2

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Hongyan Xu,Jiajia Tang,Jianhai Zhang,Li Zhuder Bauwerke. Dazu sind solide Kenntnisse der Baustatik nötig. Dies gilt nicht nur für den Konstrukteur und Tragwerksplaner, sondern auch für den Planenden im Architektur­ büro und für den Bauleiter auf der Baustelle. Bei der Planung, Konstruktion und Ausführung eines Bauwerkes ist nicht nur die Fun

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Machines Develop Consciousness Through Autonomous Programming for General Purposes (APFGP),iterature on consciousness, computational modeling of consciousness that is both holistic in scope and detailed in simulatable computation is lacking. Based on recent advances on a new capability—Autonomous Programming For General Purposes (APFGP)—this work presents APFGP as a clearer, deeper and mo

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Incorporating Task-Related Information in Dimensionality Reduction of Neural Population Using Autoey of the variance of the data, such as principal component analysis (PCA) and locally linear embedding (LLE). However, they may not be able to capture useful information given a specific task, since these approaches are unsupervised. This study proposes an autoencoder-based approach that incorporate

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Effective and Efficient ROI-wise Visual Encoding Using an End-to-End CNN Regression Model and Selecdevelopment of deep learning. Visual encoding model is aimed at predicting subjects’ brain activity in response to presented image stimuli. Current visual encoding models firstly extract image features through a pre-trained convolutional neural network (CNN) model, and secondly learn to linearly map

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