Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

Snowflake's approach unifies structured and unstructured data analysis within its platform by treating documents as queryable ...

For the first time, a research team led by the Mark and Mary Stevens Neuroimaging and Informatics Institute (Stevens INI) at the Keck School of Medicine of USC has mapped the genetic architecture of a ...

A new large-scale, open data resource from the Perelman School of Medicine and collaborators helps researchers link brain ...

Abstract: In recent years, graph neural networks (GNNs) have been increasingly applied to the hyperspectral image change detection (HSI-CD). However, existing methods propagate features by weighting ...

Electrostatic interactions are fundamental to the structure, dynamics, and function of biomolecules, with broad applications in protein–ligand binding, enzymatic catalysis, and nucleic acid regulation ...

Graphs and data visualizations are all around us—charting our steps, our election results, our favorite sports teams’ stats, and trends across our world. But too often, people glance at a graph ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Protein function prediction is essential for elucidating biological processes and ...

Rajiv Shesh is the Chief Revenue Officer at HCLSoftware where he leads revenue growth & customer advocacy for Products & Platforms division. What’s really powering AI? High-quality data—foundational ...

Powerful as they are, graph neural networks (GNNs) are known to be vulnerable to distribution shifts. Recently, test-time adaptation (TTA) has attracted attention due to its ability to adapt a ...