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by jononor 307 days ago
The TinyML niche, doing ML on microcontroller grade hardware (usually for sensor data analysis), is close in terms of constraints. Models measuring in kilobytes of RAM/FLASH. But usually missing the flair and showmanship of demoscene, and the just-because-we-can attitude. So I agree, need more demoscene style! As the maintainer of an open source library in this space (emlearn), I would be interested in contributing to such an effort.
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I should explore this niche. What are some good articles about wins or good use cases?