A recent study has uncovered that training artificial intelligence models on “brain rot” content—defined as low-quality, ...

AI’s future will be defined not by parameter counts, but by the integrity of the data that sustains it. Failures in ...

NEW DELHI (AP) — The U.S. government will stop sharing air quality data gathered from its embassies and consulates, worrying local scientists and experts who say the effort was vital to monitor global ...

Since its debut, Tableflow has transformed how organizations make streaming data analytics-ready. It eliminates brittle ETL jobs and manual Lakehouse integrations that slow teams down. With Delta Lake ...

We present an automatic and scalable text-to-SQL data synthesis framework, illustrated below: Building on SynSQL-2.5M, we introduce OmniSQL, a family of powerful text-to-SQL models available in three ...

Today’s No Man’s Sky update isn’t as massive as the last one, but it still brings some interesting new features. Check out ...

Eight class-action lawsuits have been filed in the wake of a July data breach at a University of Iowa Health Care affiliate that may have compromised some general medical information for over 200,000 ...

Abstract: Offline reinforcement learning (RL) aims to learn effective agents from previously collected datasets, facilitating the safety and efficiency of RL by ...

Abstract: Invasive species pose significant ecological risks, yet traditional models often neglect the inherent uncertainties arising from measurement errors, spatial aggregation, and sampling biases.

As the push to integrate artificial intelligence and increase interoperability evolves, Clinical Architecture sees a dire need for tools that can assess the quality of healthcare data. Poor quality ...