AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...
A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...
A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an interpretable artificial intelligence (AI) framework named Convolutional Kolmogorov ...
Temporal graphs serve as a powerful framework for representing networks whose connections evolve over time. By incorporating time‐stamped interactions, these models capture the dynamic nature of ...
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