Researchers have developed a transfer learning-enhanced physics-informed neural network (TLE-PINN) for predicting melt pool ...

Among the marvels of the human brain is its ability to generalize. We see an object, like a chair, and we know it's a chair, ...

Introducing Annotatability—a powerful new framework to address a major challenge in biological research by examining how ...

Researchers have explored the potential of deep neural networks (DNNs) in transforming fragrance design. By analyzing the ...

I'm not any more happy about a $2,000 graphics card, but there's no denying that Nvidia stomped AMD and Intel at CES 2025.

Uncovering the relationship between structure (connectivity) and function (neuronal activity) is a fundamental question ...

When trying to solve problems, artificial intelligence often uses neural networks to process data and make decisions in a way ...

I'm not any more happy about a $2,000 graphics card, but there's no denying that Nvidia stomped AMD and Intel at CES 2025.

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates.

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

This important work substantially advances our understanding of episodic memory by proposing a biologically plausible mechanism through which hippocampal barcode activity enables efficient memory ...