These projects build on work that a small team at Jefferson Lab began back in 2018 to explore how machine learning techniques could help classify cavity fault data.

Gasiorowski is now a postdoc in SLAC’s machine-learning group, which works with projects across the multi-program national laboratory. Part of his research is working with Terao on analysis tools for ...

Aircraft surface inspections are a critical and mandatory component of airworthiness that uses visual and digital checks to spot minute damage, wear, or malfunction.

The first step to a successful ML project is to understand that these projects require different processes, terminology, workflows, and tools than those needed by traditional development.

To cope with this complexity, cold-atom physicists have begun exploring ways of using machine learning to augment their experiments. In 2018, for example, a team at the Australian National University ...

Learn how to organize and structure your machine learning projects for real-world deployment. From directory layout to model ...

Here's how to develop an internally facing machine-learning model with a budget of $250,000.