Trapped in a hell he helped make, a lone hacker aboard a space station far from home sneaks and fights his way through horrible mutants and killer robots in order to take down the monstrous artificial ...

US attempts to promote the Abraham Accords with Saudi Arabia and others have been poleaxed by Israel’s genocide in Gaza US President Donald Trump with Crown Prince Mohammed bin Salman of Saudi Arabia ...

NEWPORT NEWS, Va. — The U.S. Army has taken a significant step to modernize how it manages Soldiers’ training data. On Nov. 15, ATIS Training — a streamlined, intuitive platform for managing ...

Databases will soon be capable of monitoring their own health, identifying bottlenecks, adjusting configurations, and even rerouting traffic in real time. Generative AI has already had a profound ...

The old adage, "familiarity breeds contempt," rings eerily true when considering the dangers of normalizing deviance. Coined by sociologist Diane Vaughan, this phenomenon describes the gradual process ...

Operatives from Elon Musk’s so-called Department of Government Efficiency (DOGE) are building a master database at the Department of Homeland Security (DHS) that could track and surveil undocumented ...

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered. Modern ...

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...

DBeaver is a free, open-source, cross-platform SQL client and database administration tool. It is designed to support a wide variety of SQL and NoSQL databases, including MySQL and PostgreSQL. Its key ...

The Chinese generative artificial intelligence platform DeepSeek has had a meteoric rise this week, stoking rivalries and generating market pressure for United States–based AI companies, which in turn ...

Abstract: Normalization techniques are essential for accelerating the training and improving the generalization of deep neural networks (DNNs), and have successfully been used in various applications.