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.
5 min read
AI Assurance Explained: Trust, Safety, and Operational Impact
Alistair Garfoot:
The UK-USA Technology Prosperity Deal sees overseas organisations pledging £31 billion of investment into UK AI infrastructure. As AI investment...
5 min read
Industrial AI in 2026: From Hype to Real-World Impact
Alistair Garfoot:
Industrial AI is increasingly coming to the fore in physical industries, but achieving measurable real-world impact requires careful consideration...
Stay connected
News, announcements, and blogs about AI in high-stakes applications.