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

Overall, the recent study by this team of researchers pinpoints a substrate of convolutional neural networks that significantly contributes to their ability to effectively tackle multiple tasks ...

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

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

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 ...

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