Global markets are closing out a tumultuous week after the conflict in Iran effectively closed the Strait of Hormuz, through ...

Steven Weisberg, a researcher at the University of Texas at Arlington, found that advanced artificial intelligence tools could not uncover a clear link between brain structure and navigation ability ...

Gold remains firm above $5,000 ahead of US PPI data as tariff uncertainty, geopolitical risks, slowing growth, and bullish ...

After the Hindenburg incident caused a dramatic fall, Adani Group stocks took years to recover. Some charts now show signs of ...

Beyond dashboards building data enables Stanford Health Care to deliver actionable, explainable insights for precision medicine workflows.

A global certification pathway validates NoSQL expertise through secure testing and digital credentials aligned with ...

As AI floods the SOC, security teams are discovering that smarter data architecture may matter more than smarter algorithms.

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Abstract: The emerging field of graph learning, which aims to learn reasonable graph structures from data, plays a vital role in Graph Signal Processing (GSP) and finds applications in various data ...

If you've been planning to step up your data science game for the new year, the 2026 NPTEL course lineup from India's top IITs is honestly a goldmine. These courses cover the backbone of modern ...

The primary purpose of this study is to present mathematical modeling methods inspired by graph theory operations and logic as a tool to structurally analyze the socio-economic composition of a city ...