4 min read
Digital Custodianship: The Future of Civil Infrastructure
Our civil infrastructure is entering an accelerated phase of deterioration, and numerous challenges are hindering effective infrastructure...
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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5 min read
AI at the Edge: Transforming Defence Operations
by Al Bowman
At the edge, every second counts, and every decision matters. To gain and hold an advantage, Defence must design AI and Machine Learning for where...
9 min read
The Drone Blockade: Airports Grapple with A Growing Threat
by Nick Sherman
An uninvited buzz of drones in the air is forcing airports worldwide to rethink their approach to security. The implications are serious, impacting...
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