AI GLOSSARY
Unsupervised Learning
Unsupervised learning is a type of machine learning where the model is trained on data without labelled outputs. The goal is to identify hidden patterns, groupings, or structures within the data, often used for clustering or dimensionality reduction tasks. This approach is useful when there are no predefined categories, allowing the model to discover relationships and insights on its own.
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AI for Sensor Fusion: Sensing the Invisible
by Nick Sherman
In Defence and National Security, mission-critical data often emerges from a multitude of different sensor types. With AI, we can bring this...
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Insuring Against AI Risk: An interview with Mike Osborne
by Nick Sherman
When used by malicious actors or without considerations for transparency and responsibility, AI poses significant risks. Mind Foundry is working with...
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