Abstract: This article presents a novel proximal gradient neurodynamic network (PGNN) for solving composite optimization problems (COPs). The proposed PGNN with time-varying coefficients can be ...
Abstract: The advantages of graph neural networks (GNNs) in leveraging the graph topology of wireless networks have drawn increasing attentions. This paper studies the GNN-based learning approach for ...
In many ways, a single national standard on artificial intelligence would benefit both providers and users of AI technologies. President Donald Trump’s Dec. 11 executive order seeks to promote AI ...
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