conference-paper
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EtinyNet: Extremely Tiny Network for TinyML
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- Citations
- 26
- References
- 0
- Comments
- 0
Paper overview
Abstract
There are many AI applications in high-income countries because their implementation depends on expensive GPU cards (~2000$) and reliable power supply (~200W). To deploy AI in resource-poor settings on cheaper (~20$) and low-power devices (
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Publication details
- DOI
- 10.1609/aaai.v36i4.20387
- OpenAlex
- W4283806531
- Document type
- conference-paper
- Language
- EN
- Source
- Proceedings of the AAAI Conference on Artificial Intelligence
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