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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AI for Sensor Fusion: Sensing the Invisible
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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
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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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