Researchers at University of Southern California and University of Pennsylvania recently introduced a new nonlinear dynamical modeling framework based on recurrent neural networks (RNNs) that ...

Artificial intelligence (AI) can’t fully understand language and it’s something people are only just getting their heads ...

Existing GNNs usually conduct the layer-wise message propagation via the ‘full’ aggregation of all neighborhood information which are usually sensitive to the structural noises existed in the graphs, ...

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To solve the time-variant Sylvester equation, in 2013, Li et al. proposed the zeroing neural network with sign-bi-power function (ZNN-SBPF) model via constructing a nonlinear activation function. In ...

AI gaming platform Neural has announced their expansion to the Solana blockchain, marking a major milestone in the Creator ...