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.

All Terms
A  B  C  D  E  F  G  H  I  J  K  L  M  N  O  P  Q  R  S  T  U  V  W  X  Y  Z

Continue learning...

View Resources

4 min read
Digital Custodianship: The Future of Civil Infrastructure
Our civil infrastructure is entering an accelerated phase of deterioration, and numerous challenges are hindering effective infrastructure...
5 min read
AI at the Edge: Transforming Defence Operations
At the edge, every second counts, and every decision matters. To gain and hold an advantage, Defence must design AI and Machine Learning for where...
9 min read
The Drone Blockade: Airports Grapple with A Growing Threat
An uninvited buzz of drones in the air is forcing airports worldwide to rethink their approach to security. The implications are serious, impacting...

Stay connected

News, announcements, and blogs about AI in high-stakes applications.