The importance of open industrial systems was highlighted in Schneider Electric’s recent global research report with Omdia, which uncovered closed systems cost mid-sized industrial companies 7.5% of ...

Drawing on his leadership roles within the SiLA Consortium and ASTM’s The Analytical Information Markup Language (AnIML), Schaefer explains why open standards and lightweight metadata are essential to ...

Arunkumar Sambandam’s research optimizes distributed systems by enhancing request completion time, latency, and resource ...

The history of AI training has been shaped by the limits of communication. For years, progress depended on placing machines ...

New distributed reinforcement learning system cuts post-training costs by up to 80%, expanding access to advanced AI beyond ...

If you don’t authenticate AI agents upfront, you’re not running automation — you’re handing attackers the keys at machine ...

Abstract: Data partitioning serves as a fundamental technique in distributed database systems, but skewed and dynamic work-loads often cause imbalanced load distribution among nodes. Live migration is ...

In today’s advanced packages, however, resistance no longer resides primarily inside transistors or neatly bounded test ...

Renewable Value Exchange (REVX) introduces an automated energy production framework in which smart contracts serve as the core execution layer. By replacing manual intervention with predefined ...

EcoStruxure Foxboro Software Defined Automation (SDA) delivers openness, embedded cybersecurity and real-time intelligence, ...

For CFOs, this creates a familiar tension. Controls may exist, but they are distributed. Reporting may be available, but it is often retrospective. Confidence depends on piecing together notifications ...

The concept of edge-first intelligence entails embedding critical data and inference models directly into the application or ...