The language capabilities of today's artificial intelligence systems are astonishing. We can now engage in natural ...

The language capabilities of today's artificial intelligence systems are astonishing. We can now engage in natural conversations with systems like ...

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 ...

This framework could then be integrated with existing neuroscience theories. To develop their framework, they employed artificial neural networks (ANNs) trained via reinforcement learning.

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 ...