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

More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems.

How predictions would impact clinical decision-making is another question, expert says ...

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

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 ...

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

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

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

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

Entrepreneur Frank Giaoui has spent decades at the intersection of law, technology and economics, and discusses the benefits ...

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

“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 ...