As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI ...

Recent research challenges the popular idea that general intelligence relies on the brain’s overall efficiency or “small-world” architecture. A new study demonstrates that broad, whole-brain measures ...

Scientists at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig have unearthed fascinating evidence that the brain undergoes important changes in wiring when we embark on the ...

Connectomics, a rapidly evolving field in neuroscience, is transforming our understanding of the brain’s intricate network of neural connections. By mapping these complex pathways, scientists aim to ...

Researchers from the University of Geneva and the University Medical Center Freiburg in Germany have discovered that daytime napping helps the brain recover ...

In order to uncover the relationship between structure and function, researchers used microfluidic devices to study neuronal networks. Uncovering the relationship between structure (connectivity) and ...

How do electrical signals become "about" something? Through purely physical processes, neural networks transform activity ...

The strength of certain neural connections can predict how well someone can learn math, and mildly electrically stimulating these networks can boost learning, according to a study published in the ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...