Objective 

To create a body of practical hands-on training examples devoted to AI/ML methodologies and their application to real-world science problems. The target audience for the materials was the entire spectrum of DiRAC users, and the aim was to expose them to, and assist them in incorporating, these techniques into their coding to produce new science.

Summary of work undertaken 

SCiML were engaged to work alongside DiRAC’s Training Team to produce a bank of practical hands-on worked examples demonstrating the implementation of various AI/ML methodologies and their application to real-world science problems.

The worked examples covered:

• DiRAC Science areas (STFC Frontier Physics)
• Materials Modelling
• Fusion
• National Health Service (simulated data sets)

with each using real or simulated data sets appropriate to the field.

Outputs

A bank of 26 practical worked examples (python notebooks and data sets) and a Powerpoint slide for each example, which will be used to demonstrate the AI/ML methodologies in a taught lecture component.

The first iteration of this course is expected in late 2022/early 2023.