AIBullisharXiv – CS AI · Mar 46/102
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TinyIceNet: Low-Power SAR Sea Ice Segmentation for On-Board FPGA Inference
Researchers developed TinyIceNet, a compact AI model for real-time sea ice mapping using satellite SAR imagery, designed specifically for on-board FPGA processing in space. The system achieves 75.216% F1 score while consuming 50% less energy than GPU baselines, demonstrating practical AI deployment for maritime navigation in polar regions.
$NEAR