TinyNina is a lightweight edge AI framework that runs satellite super-resolution on resource-constrained devices for real-time air quality monitoring. The work prioritizes sustainable, efficient inference at the edge over cloud-dependent processing.
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TinyNina: A Resource-Efficient Edge-AI Framework for Sustainable Air Quality Monitoring via Intra-Image Satellite Super-Resolution
TinyNina enables real-time air quality monitoring by running satellite super-resolution AI directly on edge devices, eliminating cloud dependency for resource-constrained environmental sensing.
Tuesday, April 7, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline
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