AI GLOSSARY
Data Drift
Data drift occurs when the distribution between the inputs of a machine learning model change, which can cause a model to perform poorly. This shift happens when the characteristics of the data used for training the model differ from the data it encounters in production. Monitoring and addressing data drift is crucial to ensure that models continue to make accurate predictions in real-world applications.
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AI-enabled Acoustic Intelligence for Anti-Submarine Warfare
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From detecting hidden threats to defending critical underwater infrastructure, Anti-Submarine Warfare (ASW) is a cornerstone of national security. AI...
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The UK-USA Technology Prosperity Deal sees overseas organisations pledging £31 billion of investment into UK AI infrastructure. As AI investment...
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