Black-box stochastic optimization involves sampling in both the solution and data spaces. Traditional variance reduction methods mainly designed for reducing the data sampling noise may suffer from ...

Industrial AI operates in the physical world. A compressor has a real operating envelope. A distillation column has hydraulic and thermodynamic limits. A reactor has temperature and pressure ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

The electric arc furnace (EAF) stands at the heart of modern steelmaking, offering rapid heating rates, flexible operation and high scrap utilisation. Its operation entails complex interactions ...

Semiconductor logic and memory technology development continues to push the limits of process complexity and cost, especially as the industry migrates to the 5 nm node and beyond. Optimization of the ...

Author Dr. R. Russell Rhinehart discusses his new book, Nonlinear Model-Based Control: Using First-Principles Models in Process Control, and explains why nonlinear first-principles models should be ...

This article examines how domain-specific GenAI models can be fine-tuned using packaging specifications, material ...

What is Business Process Modeling Notation (BPMN)? Business Process Modeling Notation (BPMN), also called Business Process Model and Notation, is an open standard to diagram a business process. It's ...