AI GLOSSARY
Features
Features are individual measurable properties or characteristics of data used as inputs for machine learning models. In supervised learning, features help the model identify patterns and make predictions based on the relationships between input data and the target variable. Good feature selection or engineering can significantly improve a model’s performance by providing the most relevant and informative data points.
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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...
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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...
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