6 min read
The Intelligent Application of Machine Learning in Defence
The rapid and dislocating advances in large language models (LLMs) and foundation models over the past three years has dominated the AI and machine...
AI GLOSSARY
Interpretability
Interpretability refers to the ability to understand and explain how an AI or machine learning model makes its decisions. By providing insights into the relationship between inputs and outputs, an interpretable model openly shows its internal workings and provides information that makes it easier for users to trust, verify, and act on the model’s predictions. Interpretability is especially important in high-stakes applications where transparency is required to ensure accountability and fairness.
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5 min read
AI-enabled Acoustic Intelligence for Anti-Submarine Warfare
Mind Foundry:
From detecting hidden threats to defending critical underwater infrastructure, Anti-Submarine Warfare (ASW) is a cornerstone of national security. AI...
5 min read
AI Assurance Explained: Trust, Safety, and Operational Impact
Mind Foundry:
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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