AI GLOSSARY
Bayesian Optimisation
Bayesian optimisation is a probabilistic approach used to optimise black-box functions where evaluations are expensive. It builds a surrogate model, typically a Gaussian process, to estimate the objective function and selects the most promising next evaluation point based on this model. This technique is effective in scenarios where the objective function is costly to evaluate, such as hyperparameter tuning in machine learning.
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Digital Custodians for Ageing Infrastructure
by Mind Foundry
The UK spends £1.5 billion each year maintaining its 100,000 bridges and structures across the road and rail networks. The average age of these...
7 min read
Bridge Inspections: 5 Challenges Every Asset Manager Faces
by Claire Butcher
Inspections are the primary way we assess a bridge’s condition, but traditional methods have their limitations. AI and Machine Learning offer new...
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