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Insuring Against AI Risk: An interview with Mike Osborne
When used by malicious actors or without considerations for transparency and responsibility, AI poses significant risks. Mind Foundry is working with...
AI GLOSSARY
Concept Drift
Concept drift occurs when the relationship between the input data and the target value changes in some way, potentially making the model inaccurate or unreliable. Concept drift can lead to a decline in the model’s accuracy because it was trained on data that no longer reflects the current patterns or relationships. Handling concept drift is essential in dynamic environments, such as financial markets or user behaviour prediction, where conditions evolve continuously.
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7 min read
Machine Learning Types and Their Infrastructure Use Cases
by Kimberly Joly
AI and Machine learning is a complex field with numerous models and varied techniques. Understanding these different types and the problems that each...
6 min read
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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