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 Drone Blockade: Airports Grapple with A Growing Threat
by Nick Sherman
An uninvited buzz of drones in the air is forcing airports worldwide to rethink their approach to security. The implications are serious, impacting...
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Defence and National Security AI Strategies - The Global Landscape
by Nick Sherman
The Ukraine-Russia war has clearly demonstrated AI’s effectiveness on the battlefield. Across the globe, countries are devising strategies to...
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