How we create training data for the neural networks.
The universal file structure that will be outputted from the DAQ
How data travels through the system from raw events to reconstructed outputs.
How quickly and accurately QTracking works versus truth and KTracker.
How we accelerate the evaluation of the neural networks.
Plans for and status of the GUI that will display QTracker data.
Plans for and status of a machine learning-based monitoring system for slow-controls of the experiment combined with output of QTracker.