The Computing Division Technical Meetings are a platform for

  • presenting Pinboard papers under review for journal or conference publication,
  • inviting speakers who are current or prospective UKAEA collaborators at external organisations,
  • presenting work done in PhD projects funded by or co-supervised by UKAEA,
  • presenting work done during summer placements or other secondments to UKAEA.

 

If you would like to invite a speaker on a topic that would be of interest to one or more Units within the Computing Division, but is not currently collaborating on a UKAEA project, please consider nominating them for a Computing Division Cross-Disciplinary Seminar.

These meetings are normally recorded. Recordings of past meetings can be found here:

CD Technical Meetings Archive on UKAEA Sharepoint

CD Technical Meeting (ML3): Sensor Qualification and Placement using Probabilistic AI

→ Europe/London
Cyd Cowley (digiLab)
Description
Machine Learning, Uncertainty Quantification and Data Science 

 

Abstract:

How can we design good sensing systems in fusion? In this talk, we introduce a novel way of qualifying, optimizing, and placing sensors and diagnostics based upon the framework of Bayesian Experimental Design. Accelerated by modern probabilistic AI techniques, this framework is agnostic and can quickly configure integrated systems of heterogeneous sensors. Ultimately, the framework allows scientists, diagnosticians, and engineers to design experiments that reduce the uncertainty of the observed system, and maximize information learnt from the experiment.

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