The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

This valuable study links psychological theories of chunking with a physiological implementation based on short-term synaptic plasticity and synaptic augmentation. The theoretical derivation for ...

Hypernym detection and discovery are fundamental tasks in natural language processing. The former task aims to identify all possible hypernyms of a given hyponym term, whereas the latter attempts to ...

A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...