How can we characterize the dynamics of neural ... networks were both computationally inefficient and biologically unrealistic, Hopfield's work inspired a new generation of recurrent network ...

Learn More A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time ...

In a paper published in the journal Nature, researchers developed a recurrent, transformer-based neural network to decode the surface code, a leading quantum error ...

Researchers developed a PV-RNN model that learns like children, integrating language and action to uncover mechanisms of compositionality in neural networks.