As data analytics increasingly shapes economic and social decision-making, its application is no longer confined to large corporations or institutional settings. Instead, analytical frameworks are ...

Billed as “the highest priority,” superseding “any other instructions” Grok may receive, these rules explicitly prohibit Grok ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Background Ebstein’s anomaly (EA) exhibits significant anatomical and clinical heterogeneity, warranting a systematic ...

What data helps investment managers spot opportunities in volatile markets? We explore how alternative and unstructured data, ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Abstract: Currently, there are several significant limitations in the issues related to the exploration of large data sets using classical classification methods, the results of which are used in the ...

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...

ABSTRACT: A minimal amount of scholarly and professional literature exists on the challenges of new public school principals without leadership training, resulting in high turnover and reduced ...

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...