AI GLOSSARY
Supervised Learning
Supervised learning is a type of machine learning where a model is trained using labelled data, meaning each input comes with a corresponding output. The model learns to map inputs to outputs by finding patterns in the training data, allowing it to make predictions for new, unseen data. This approach is commonly used in tasks such as classification and regression where accurate examples are available for model training.
Resources:
5 min read
AI-enabled Acoustic Intelligence for Counter-UAS
by Syreeta Cummings
Unmanned Aircraft Systems (UAS) are now a staple of modern warfare, now responsible for 60% of targets destroyed in the Ukraine-Russia war....
5 min read
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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