Using the analogy of the interconnected neural pathways in the brain, network leadership is about harnessing connections to ...

Floods are some of the most devastating natural disasters communities in the United States face, causing billions of dollars ...

The strength of certain neural connections can predict how well someone can learn math, and mildly electrically stimulating ...

In the cerebral cortex, numerous neurons exchange information through junctions known as synapses. The strength of each synaptic connection changes depending on the activity levels of the neurons ...

Training a deep convolutional neural network (CNN) from scratch is difficult because it requires a large amount of labeled training data and a great deal of expertise to ensure proper convergence. A ...

Artist Terence Broad makes AI produce images without any training data at all.

Graph neural networks (GNNs) have been demonstrated to be a powerful algorithmic model in broad application fields for their effectiveness in learning over graphs. To scale GNN training up for ...

What makes this development especially revolutionary in battery research is the integration of physics-informed principles into neural networks. Traditional neural networks are data-driven models that ...

A new study has used large language models and neural networks to identify and predict the reactivity of over 14,000 potential cementitious materials, offering a scalable approach to discovering ...