On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional ...

Generalized epilepsy has traditionally been considered a seizure of the "'whole brain.'" However, new research has challenged ...

This kind of AI was actually being dabbled with as far back as the 1950's, though it wasn't until 2012 that we saw it kick off the current generation of machine learning with AlexNet; an image ...

It was the shot heard 'round the world - a neural network that finally fulfilled decades of theoretical promise.

Peptides designed by artificial intelligence restrict both drug-resistant bacteria and rapidly evolving viruses.

Previous studies have confirmed the effectiveness of graph neural networks (GNNs) in drug compound feature encoding ... For the weighted graph representations, we utilized a 3-layer weighted GCN (WGCN ...

Abstract: In recent years, convolutional neural networks (CNNs) have been impressive due ... Therefore, this paper proposes a hybrid CNN-GCN network (HCGN) for hyperspectral image classification.

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ASTMGCNet records changing features of space and time by combining Gated Recurrent Units (GRU) and Graph Convolutional Networks (GCN). Its design incorporates multi-scale feature extraction and dual ...