Walk into almost any industrial facility that has invested in a predictive maintenance program and ask how it’s going. The ...

A research team at The Hong Kong Polytechnic University (PolyU) has developed Hong Kong's first "AI Agent for Precision Diabetes Management—PIPE-AI" (AI Agent), designed specifically for Asian ...

Processing data closer to its source (edge computing) combined with AI allows for faster analysis and decision-making in preventative maintenance, as well as enhances data security. The work flows in ...

Driven by increased adoption of Industry 4.0 technologies, specifically AI, manufacturers still rank predictive maintenance use cases at the top of their priority lists. Yet despite strong interest ...

Enlaye's platform provides recommendations to mitigate potential construction problems by analyzing how different construction activities could collide or otherwise create issues using graph neural ...

Researchers have developed a predictive energy management framework for megawatt-class parallel hybrid-electric regional aircraft, showing how coordinated control of engines, electric motors, and ...

Most employee engagement strategies are reactive. A top performer resigns. A team misses targets. Productivity dips. Only then does leadership begin asking what went wrong. By that point, the damage ...

Abstract: Enterprise IT projects frequently fail because early risk indicators are dispersed across structured metrics and unstructured project narratives. This paper proposes a governance-aware, ...

We are experiencing an extraordinary level of volatility in the global supply chain ecosystem right now. There are many factors contributing to the current volatility including, but not limited to, ...