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AI Applications Across the Infrastructure Life Cycle
From planning to decommissioning, every stage of the infrastructure asset life cycle has its own priorities and needs. Here are the ways that AI can...
AI GLOSSARY
Explainable AI (XAI)
Explainable AI (XAI) refers to methods and techniques that make the decision-making processes of AI systems transparent and understandable to humans. Unlike black box models, explainable AI provides insights into how an AI model reaches its conclusions, allowing users to interpret, trust, and verify the outputs. This is particularly important in high-stakes applications like healthcare, finance, and autonomous systems, where understanding the rationale behind AI decisions is critical.
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AI-enabled Acoustic Intelligence for Counter-UAS
by Syreeta Cummings
Unmanned Aircraft Systems (UAS) are now a staple of modern warfare, now responsible for 60% of targets destroyed in the Ukraine-Russia war....
5 min read
AI for Sensor Fusion: Sensing the Invisible
by Nick Sherman
In Defence and National Security, mission-critical data often emerges from a multitude of different sensor types. With AI, we can bring this...
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