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, ...

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 ...

Western researchers have developed a novel technique using math to understand exactly how neural networks make decisions—a ...

We humans excel at generalization. If you taught a toddler to identify the color red by showing her a red ball, a red truck ...

A team of researchers at Western University has now taken a major step toward opening these AI black boxes. By applying ...

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

A new AI model, based on the PV-RNN framework, learns to generalize language and actions in a manner similar to toddlers by integrating vision, proprioception, and language instructions.

We humans excel at generalization. If you taught a toddler to identify the color red by showing her a red ball, a red truck and a red rose, she will ...