This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

Orbitofrontal cortex and hippocampus reinstate representations of causal choices to associate with delayed outcomes, and the frontal pole supports this credit assignment process by maintaining pending ...

Therefore, to effectively utilize the information of the dynamic network and improve the prediction efficiency as well as the prediction accuracy, this paper proposes a spatio-temporal tensor graph ...

One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...

Data sharing becomes more challenging when AI and multi-die assemblies are involved.

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Accuracy Scores,Convolutional Neural Network,Knowledge Graph Completion,Language Model,Large Language Models,Link Prediction,Neural Network,Pre-trained Language ...

Press Release Helm.ai, a leading provider of advanced AI software for high-end ADAS, autonomous driving, and robotics automation, today introduced Helm.ai Driver, a real-time deep neural network (DNN) ...

Researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have developed a neural network model based on self-attention mechanisms to rapidly predict radiation ...