Deterministic Autonomy: The Hidden Challenge of AI at the Tactical Edge

Autonomous capabilities are rapidly moving from experimentation into operational defense systems, bringing AI directly into mission environments at the tactical edge. But while machine learning introduces powerful new capabilities, mission-critical platforms still demand deterministic performance, predictable timing, and certifiable reliability. Integrating probabilistic AI workloads into systems that cannot tolerate unpredictable behavior presents a new engineering challenge for defense architects. This discussion explores the emerging discipline of deterministic autonomy, examining how defense programs can run AI inside embedded mission systems while maintaining the assurance required for real-world operations.

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