Self-learning AI enhances behavioral analytics for detecting advanced threats and insider risks, but demands careful ...

The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

An intention refinement method for domain-data analysis using large language models is proposed. It employs a “domain-framing prompt” to relate a domain expert's interests with relevant domain data.

The rapid advancement of Machine Learning (ML) represents novel opportunities to enhance public health research, surveillance, and decision-making. However, there is a lack of comprehensive ...

A digital innovation initiative about fault anomalies has been selected as one of the first projects for the new Microsoft AI ...

Experts from Snowflake and Informatica joined DBTA's webinar, From Data to Insights: Leading-Edge Analytics & BI with Informatica & Snowflake, to evaluate actionable strategies and success stories for ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

LCGC International interviewed Bob Pirok from the University of Amsterdam, Netherlands to discuss strategies for enhancing ...

W Converting's Accelerate digital services initiative, focused on fault anomalies, has been chosen as a project for the ...