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Dstl

Adelard is currently working on a project funded by Dstl aimed at creating safety argument fragments and templates designed to help assure autonomous systems. The methodology deploys novel assurance techniques and investigates the challenges of assuring machine learning enabled systems or complex components dependent on machine learning. We will engage with the safety assurance community throughout the project with workshops and publications.

For further information please contact us.