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The U.S. Navy uses machine learning (ML) models for underwater target threat detection by unmanned underwater vehicles (UUV). However, without a way to monitor and improve ML model performance at scale, models were slow to adapt to changing underwater conditions or enemy tactics - unable to “learn” based on recent ...