Abstract: Network Intrusion Detection Systems (NIDS) are widely used to secure modern networks, but deploying accurate and scalable Machine Learning (ML)-based detection in high-speed environments ...

When it comes to AI, this five-part framework can help give you a roadmap to move from experimentation to execution.

Objectives To explore public perceptions of COVID-19 vaccine acceptance and hesitancy in India, and to identify underlying factors influencing attitudes toward vaccination during the second wave of ...

Research on the Influencing Factors and Configuration Paths of High-Quality Development of “Specialization, Refinement, ...

This study addressed the alarming rate of public school teachers leaving the profession and the leadership factors influencing it. The research explored two questions: 1) What factors affect teachers’ ...

At the federal level, 2025 began quietly on the policy front in terms of interoperability and data standards work. As the new ...

Breaking stock news is now free. Create your account to stay informed—and explore the insights behind every move. My ...

The core utility of AI lies in its ability to process massive volumes of data and synthesize patterns. In ESG, models can aggregate vast, ambiguous, and often qualitative information into a single, ...

There's a rush to amass as much data as possible to train AI models. Amazon is trying to scrape Microsoft's Github for some of the data it needs.

I rely on data for clarity and risk transparency, but instinct shapes how I interpret it. My approach combines analytical ...

From The Customer-centric Entrepreneur ProjectIn the journey toward transforming Ghana’s plastic waste crisis into an economic opportunity, one principle stands paramount: what gets measured gets ...

As one of the battle captains assigned to the 101st Airborne Division (Air Assault), I was first struck by the amount of chat ...