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 ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Gregory Shahnovsky is CEO of Modcon Systems, specializing in process analytics and AI-driven ...

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 ...

Biopharmaceutical teams are increasingly looking to AI to improve process development and optimization. However, the biggest constraint is often not the model; it's the data. If experiments are run at ...

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 ...

Combining low-fidelity trend information with empirical data to train models can improve their accuracy and reduce costs.

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 ...

This article examines how domain-specific GenAI models can be fine-tuned using packaging specifications, material characteristics, barrier-performance data, environmental requirements, and ...