AI GLOSSARY
Transfer Learning
Transfer learning is a machine learning technique where a pre-trained model is adapted to perform a different but related task. Instead of training a model from scratch, transfer learning leverages the knowledge gained from solving one problem and applies it to another, often reducing the amount of data and computational resources needed. This approach is particularly effective when data for the new task is limited, enabling quicker and more efficient model development.
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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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