Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

As summer winds down, many of us in continental Europe are heading back north. The long return journeys from the beaches of ...

This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

Recurrent Neural Network in Deep Learning. Recurrent Neural Network in Deep Learning is a model that is used for Natural Language Processing tasks. It can be used to create applications like chat-bot, ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

A hybrid approach to AI is powering Amazon’s Rufus shopping assistant and cutting-edge warehouse robots.

A UCLA study has mapped a critical brain hub in mice that regulates stress responses and social behavior, shedding new light ...

Stream now with the PBS app + YouTube. Artificial intelligence is reshaping our world in countless ways — but what happens ...

Although not the first video game ever produced, Pong was the first to achieve commercial success and has had a tremendous ...

Volcanic eruptions can have dramatic consequences. But how can we anticipate this phenomenon, which unfolds up to tens of ...