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"AI At The Edge: Making Mission-Critical Intelligence Practical "
Artificial intelligence is increasingly being deployed across complex, distributed systems where data must be processed in real time. While centralized cloud infrastructure remains essential, many operational environments require AI-capable compute at the edge to reduce latency and limit dependence on continuous connectivity. Deploying AI outside controlled facilities introduces challenges related to environmental extremes, size, weight, and power constraints, and long-term reliability. Rugged edge computing platforms are designed to address these challenges, enabling consistent performance in demanding defense, industrial, and critical infrastructure applications. This paper examines the operational realities of edge AI and the role rugged hardware plays in making mission-critical intelligence practical and dependable.

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