AI GLOSSARY
Sensor Fusion
Sensor fusion is the process of integrating data from multiple sensors to produce a more accurate, comprehensive understanding of an environment or system. By combining different types of sensor inputs, such as cameras, radar, and accelerometers, sensor fusion improves the reliability and precision of information, and is often used in applications like autonomous vehicles and robotics. This approach helps reduce uncertainty and enhances decision-making by leveraging the strengths of various sensor types.
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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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Insuring Against AI Risk: An interview with Mike Osborne
by Nick Sherman
When used by malicious actors or without considerations for transparency and responsibility, AI poses significant risks. Mind Foundry is working with...
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