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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The Business of AI in UK Defence and National Security
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While the technical aspects of an AI system are important in Defence and National Security, understanding and addressing AI business considerations...
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