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

Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new generation of intelligent industrial environments capable of real-time ...

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

The $450 million Series A will support continued research and engineering investment, expansion of industrial deployments and customer pilots, and growth of Rhoda’s multidisciplinary team spanning ...

Rhoda AI said it designed the system to operate beyond controlled laboratory demonstrations and into real-world environments.

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

Enabled Digital Twins in Agriculture,” published in the journal AI , provides a comprehensive scoping review of digital twin technologies in precision agriculture, examining how AI, machine learning, ...

Dahua Technology, a world-leading video-centric AIoT solution and service provider, returned to Intertraffic Amsterdam 2026 with its ...

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

Pre-configured to identify normal, high-vibration, and unstable motor conditions STMicroelectronics (NYSE:STM)GENEVA, ...

The motion control market is poised for significant growth driven by rising demand for advanced electronic equipment and increased automation in manufacturing sectors. Key opportunities lie in AI ...

“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 ...