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

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 ...

People tend to be self-preoccupied. Self-interest is good when it ensures that one's needs are met, but it can also be ...

WILMINGTON, NEW CASTLE, DE, UNITED STATES, August 25, 2025 /EINPresswire.com/ -- Allied Market Research published a report, titled, "Artificial Neural Network Market by Component (Solution and Service ...

Scientists from Tomsk Polytechnic University, together with their colleagues, analyzed various methods of planning experiments to determine the optimal technological parameters of polymer scaffold ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

Artificial Intelligence (AI) is often seen as the most important technology of our time. It is transforming industries, ...

This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...

Making a smoothie, going for an evening walk, or having empathy for a loved one are all examples of executive functions that ...

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