Graph theory and computational modeling reveal that neural network architecture biases the male Caenorhabditis elegans brain toward prioritized sexual behaviors.

For most of its history, AI in network operations (NetOps) meant better visibility, somewhere between smarter dashboards and ...

Scientists who use imaging to understand the brain's complexity often focus on the strongest signals and ignore the rest. But this strategy, researchers warn, may reveal only the tip of the iceberg. A ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

The editorial, "Dynamics-driven medical big data mining: dynamic approaches to early disease forecasting and individualized care," published in Intelligent Medicine (February 2026, Volume 6, Issue 1), ...

The editorial, "Dynamics-driven medical big data mining: dynamic approaches to early disease forecasting and individualized care," published in ...

Online recommendation is moving into a new phase as transformers begin to reshape how graph-based systems understand users, items, and their hidden connections.

Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people connect with each other—to better understand how people interact online.

Binaural beat (BB) stimulation has been shown to enhance working memory (WM); however, its role in information segregation and neural processing mechanisms remains insufficiently explored. This study ...

Abstract: The evolutions in communication technologies demand high-performance processing units and reliable back-hauling lines for the management of vast data in wireless networks. A reliable ...