Military autonomous systems increasingly depend on real-time perception, decision-making, and adaptation under extreme constraints of resilience and demands for ever-smaller size, weight, and power (SWaP). Traditional CPU-centric embedded architectures alone cannot meet the computational demands of modern machine learning (ML) inference without exceeding feasible power envelopes or introducing unacceptable latency. Commercial off-the-shelf (COTS) edge artificial intelligence (AI) accelerators are reshaping autonomous military systems, with particular attention to space as an operational domain. Recent NASA proton and heavy-ion test results demonstrate that selected commercial AI accelerators can exhibit radiation resilience compatible with mission-critical autonomy, signaling a potential shift in how defense and space programs approach onboard AI.

There is a lot of talk about terms like the military edge and artificial intelligence (AI) and their impact on military capability. Many of these conversations start with questions like “What is the edge?” “What is artificial intelligence?” and “What do edge computing and AI imply for embedded systems in the defense market?” Edge computing and AI are two powerful technologies that, when combined, significantly enhance operational capabilities.