Third District Judge Richard Mrazik ruled on multiple motions in the case against Kouri Richins, a Utah mother and author ...

This end-to-end trainable neural network combines attention mechanisms adapted to the geometry of an approach scene, with the exploitation of spatial-temporal information via recursive cells, all ...

A study of cells from 84 brains finds that Alzheimer’s has two distinct phases, and that one type of neuron is especially ...

Researchers developed an AI algorithm capable of identifying cases of long COVID from electronic health records. | ...

that adeptly captures spatio-temporal Self-Attention (SA) features. LS-VIT is inspired by the Vision Transformer (ViT) (Dosovitskiy et al., 2021) image model, yet innovatively incorporates the ...

With the continuous advancement of deep learning techniques, including self-attention mechanisms and graph convolution networks (GCNs), we can better understand the nonlinear relationship of ...

However, how to extract spatio-temporal fusion features from complex EEG signals and build learning method with high recognition accuracy and strong interpretability is still challenging. Methods: In ...

In this study, we strengthen the video features by learning the temporal dynamics in video data. Cross-modal attention modules are introduced to enrich video features with audio information so that ...