Key cells in the brain, neurons, form networks by exchanging signals, enabling the brain to learn and adapt at incredible ...

Deep neural networks will allow signal transfer of nerve cells to be analyzed in real time in the future. That is the result ...

Recurrent Neural Networks (RNN): A special type of neural network, RNN is a complex network that uses the output of a node ...

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

Artificial intelligence (AI) writing tools have been exploding in popularity. Automated rewriting tools, or text generators, or article spinners, these algorithms claim to generate human-like content ...

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

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 ...

Researchers developed COMET, a deep learning framework that leverages electronic health records and omics data to improve ...

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

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, ...