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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Machine Learning Types and Their Infrastructure Use Cases
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AI and Machine learning is a complex field with numerous models and varied techniques. Understanding these different types and the problems that each...
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The Business of AI in UK Defence and National Security
by Al Bowman
While the technical aspects of an AI system are important in Defence and National Security, understanding and addressing AI business considerations...
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