Two new neural network designs promise to make AI models more adaptable and efficient, potentially changing how artificial ...

Researchers have created an all-optical computer capable of 100 GHz speeds that runs off light instead of electricity.

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.

The earliest neural networks, which have later evolved into the large language models (LLMs) revolutionizing our society, were developed to study how information is processed in our brains. Ironically ...

This work models reinforcement-learning experiments using a recurrent neural network. It examines if the detailed credit assignment necessary for back-propagation through time can be replaced with ...

Thus, appropriate architecture of the FFN may ... Transformation: the neural code is generated and exists in a recurrent network of neurons. To perform any computation it is important that the ...

This important work substantially advances our understanding of episodic memory by proposing a biologically plausible mechanism through which hippocampal barcode activity enables efficient memory ...