Predict dynamic behaviors in a physics system in a way that's computationally efficient and adaptable to a range of scenarios.

The field of AI is notoriously filled with jargon. To better understand what is going on, here is a series of explainers, ...

Previous studies have confirmed the effectiveness of graph neural networks (GNNs ... We combined multiple layers of GNN as a GNNBlock unit to capture the hidden structural patterns from drug graph ...

The research results are presented in Advances in Space Research. The code and examples are available on GitHub. Convolutional neural networks have become one of the best tools for image and video ...

The architecture of your artificial neural network (ANN) can significantly influence its performance. Start with determining the number of layers and neurons in each layer. A simple model may require ...

This article proposes a novel adaptive control technique to suppress SSI in doubly fed induction generator (DFIG)-based wind power systems using recurrent dual hidden layer radial basis function ...

To overcome this problem, this paper proposes an antenna radiation pattern anomaly correction model (ARPACM) based on a neural network to compensate ... The weights of the last hidden layer of the ...

Scientists have uncovered a hidden layer of visual communication in birds-of-paradise—biofluorescence. Nearly all species in this group glow under UV light, with ...