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

LSTM Recurrent Neural Network is a special version of the RNN model. It stands for Long Short-Term Memory. The simple RNN has ...

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 ...

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...

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

Neuroscientists have been trying to understand how the human brain supports numerous advanced capabilities for centuries. The cerebral cortex, the outer layer of the brain, is now known to be ...