Researchers at the University of Maryland and Tilburg University in the Netherlands have produced an AI-driven innovation to ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Transit workers across the U.S. are facing an epidemic of violence and injury, with assaults on these essential frontline employees having tripled since 2008, according to data from the National ...

Overview Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows ...

Spend a few minutes with someone in EMS, fire service, or healthcare, and you’ll likely hear some version of the same concerns: call volumes increasing, crews stretched thin, and many of the systems ...

Vertiv, a global leader in critical digital infrastructure, announced the launch of Vertiv™ Next Predict, an AI-powered managed service that fundamentally transforms data center maintenance. Moving ...

Vertiv™ Next Predict is a new AI-powered, managed service that combines field expertise and advanced machine learning algorithms to anticipate issues before they occur. As AI workloads reshape the ...

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...

Washington-based Starcloud launched a satellite with an Nvidia H100 graphics processing unit in early November, sending a chip into outer space that's 100 times more powerful than any GPU compute that ...

ManTech has acquired a provider of artificial intelligence and data science solutions in a move to further build out the portfolio of automation offerings and add more integration expertise. Dr. John ...

This series of Voices of Student Success focuses on the use of generative artificial intelligence in higher education and how technology can support student success goals. Central New Mexico Community ...

Data has long been called the new gold, but mining it has historically required specialized expertise, significant time and substantial resources. For decades, organizations relied on highly trained ...