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 Assurance Explained: Trust, Safety, and Operational Impact
Mind Foundry:
The UK-USA Technology Prosperity Deal sees overseas organisations pledging £31 billion of investment into UK AI infrastructure. As AI investment...
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Industrial AI in 2026: From Hype to Real-World Impact
Mind Foundry:
Industrial AI is increasingly coming to the fore in physical industries, but achieving measurable real-world impact requires careful consideration...
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