Engineering has always been a profession of pragmatic decision-making under uncertainty. What’s changed is the toolkit: scalable probabilistic inference, surrogate modelling, reinforcement learning, …. These increasingly complex simulations now sit alongside the established methods that have historically kept buildings standing, planes flying, and pressure vessels intact. In a recent position paper, AQ’s assurance specialist Domenic Di Francesco, argues that the successful integration of novel tools relies on three core things….
[coming soon]