Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like ...

The economist played a central role in the development of neural networks and, therefore, the modern AI revolution.

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

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Yandex's dataset enables researchers and startups to build advanced personalization features and compete with tech giants ...

Graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs generally use a fixed graph which ...

The brains of humans and other primates are known to execute various sophisticated functions, one of which is the representation of the space immediately surrounding the body. This area, also ...

Graph neural networks are receiving increasing attention as state-of-the-art methods to process graph-structured data. However, similar to other neural networks, they tend to suffer from a high ...

Shao et al., scDeepSort: a pre-trained cell-type annotation method for single-cell transcriptomics using deep learning with a weighted graph neural network. Nucleic Acids Research, 2021. PMID:34500471 ...