With exploitation of vulnerabilities taking just days, preemptive security must be the new model for defenders.

Executive Summary - Artificial intelligence has moved from research laboratories into deployed defense systems: autonomous ...

A machine learning model for prediction of preeclampsia risk using routinely collected data was feasible among pregnancies in ...

Researchers at Mass General Brigham have developed a series of artificial intelligence (AI) tools that uses machine learning ...

Learn how to implement cryptographic agility in Model Context Protocol (MCP) to protect AI infrastructure against quantum threats with PQC and modular security.

Advances in instrumentation, modeling and control are more fully understood and utilized when assisted by first-principle, ...

H2O.ai, a pioneer in sovereign AI and the world’s leading agentic, highly accurate predictive AI company, today announced its openly available H2OVL Mississippi visual-language multimodal models has ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

IMAGINiT’s hub-and-spoke platform was created to integrate disparate data to support AI in automation and predictive ...

A new computational tool infers changes occurring at the ends of the chromosomes housing our DNA. It does so by detecting structural alterations in ...

“Industrial AI must start with trusted data,” said Steve Mason, COO of Canary Labs. “Our historian has long been the foundation for operational visibility. By natively integrating with SORBA.ai’ SORBA ...