Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different neighbors when aggregating their features to update a ...

Researchers have developed TD-MCL, a spiking neural network framework inspired by how infant brains grow and prune synapses. The method enables AI to learn new tasks without forgetting old ones while ...