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.
5 min read
UK Quantum Computing: Leading the Revolution
Dr Nathan Korda:
Of all the technologies being explored today, Quantum technologies are some of the most exciting and potentially most revolutionary, and the UK is at...
4 min read
Industrial AI in 2026: Turning Uncertainty into Opportunity
Alistair Garfoot:
With AI pilot project failure rates as high as 95%, industries like manufacturing, utilities, and logistics have struggled to capitalise on AI’s...
Stay connected
News, announcements, and blogs about AI in high-stakes applications.