Measurement-based characterization of quantized AI inference latency and data movement on Cortex-M platforms, positioned as a lower-bound reference for small-satellite embedded vision workloads.
Application of AMD Versal™ adaptive SoC to radar space time adaptive processing in space,
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The paper reviews ML applications for sequence modeling, pattern recognition, and generative Bayesian analysis to tackle heterogeneous data challenges in (exo)planetary science.
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Quantized AI Inference on Constrained Embedded Platforms for Small-Satellite Settings
Measurement-based characterization of quantized AI inference latency and data movement on Cortex-M platforms, positioned as a lower-bound reference for small-satellite embedded vision workloads.
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Machine Learning as a Transformative Tool for (Exo-)Planetary Science
The paper reviews ML applications for sequence modeling, pattern recognition, and generative Bayesian analysis to tackle heterogeneous data challenges in (exo)planetary science.