The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

Hara Krishna Reddy Koppolu proposes an AI-driven framework for real-time, scalable billing to boost revenue, optimize ...

RFK Jr. said the environmental toxins may be found in air, water, food or medicine. He will be launching government-funded studies to identify the toxins.

Every second counts when it comes to detecting and treating heart attacks. That's where a new technology from the University of Mississippi comes in ...

Sarvesh Kumar Gupta's has been marked by significant contributions to major data architecture projects, where he has honed ...

When forming a cybersecurity strategy, it is easy to become overwhelmed or have inherited something overly complex and simply impossible to operationalize.

The founders come from as far away as San Francisco and LA, as well as New Zealand, and bring Blackbird Sunrise to a ...

diameter and graph density. This program offers a practical introduction to community detection, showcasing the strengths of modularity-based and edge-removal algorithms while providing a visual ...

Nvidia's Wade Vinson revealed how retrofits, real-time modeling, and 5MW modular blocks are redefining the AI data center — ...

Built and analyzed a social network graph using Python and NetworkX. Explored key metrics like centrality, density, and community structure to uncover hidden patterns in connections.

The increasing digitalization of banking services has led to a surge in financial fraud, necessitating advanced detection ...