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, ...

Scientific research explores the potential of DNNs in transforming fragrance design. By analyzing the sensing data of 180 essential oils, the DNN was trained using the odor descriptor data from 94 ...

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.

Individuals who suffer head trauma from sports, accidents, or other causes often go on to develop neurodegenerative diseases ...

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

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

Processing-in-memory (PiM), a silver bullet for TinyML, is just one tool to execute SLMs and some LLMs effectively at the far ...

There will never be another year like 2024 again for artificial intelligence. Throughout the year, obscure product demos ...

Tohoku University scientists created lab-grown neural networks using microfluidic devices, mimicking natural brain activity ...

Summary: Researchers have discovered that pupil size during non-REM sleep correlates with memory consolidation. When pupils ...

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