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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
Responsible AI
Responsible AI refers to the development and deployment of artificial intelligence systems in a manner that is ethical, transparent, and aligned with societal values. It emphasises fairness, accountability, privacy, and the minimisation of biases to ensure that AI technologies benefit individuals and communities without causing harm. Responsible AI practices also include ensuring that AI decision-making processes are understandable and accessible, fostering trust and inclusivity.
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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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