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Quantized AI Inference on Constrained Embedded Platforms for Small-Satellite Settings

arXiv:2606.06528v1 Announce Type: new Abstract: In resource-constrained small-satellite settings, AI inference must operate under tight size, power, and payload budgets, which tend to limit onboard compute capability and data handling. These conditions motivate establishing a clear baseline for quantized AI inference under bounded compute and memory resources. To instantiate this baseline, a representative embedded-vision neural-network workload serves as the reference case.