Kubeflow Training Operator is a Kubernetes-native project for fine-tuning and scalable distributed training of machine learning (ML) models created with various ML frameworks such as PyTorch, ...

CM Labs claims that, in addition to allowing trainees to experience conditions that are too risky to replicate in real life, simulated training provides an effective method for training because, using ...

Guttman, R., 2017: Combined Arms Cyber-Kinetic Operator Training. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed December 3 ...

The new operator training course provides in-depth information on the DeltaV system, operator user interface, alarms, trending and module operation. This program is a cost effective alternative to ...

DeepHow has launched PharmaCloud, a GMP-compliant cloud environment developed specifically to standardise AI-driven operator ...

In an industry that is constantly evolving, it’s easy to see that the crane and rigging sector is undergoing a significant shift in how operator training is delivered, with technology playing a ...

An old-fashioned idea that predates all the glitzy gadgets marching across the technology parade ground is proving yet again that it is still the easiest and most dependable method of measuring ...

A good paving job will have a smooth, dense appearance that looks flat and tight, without any gaps between the aggregates at the surface. We all know that appearance doesn't just happen, there are a ...