# A 21mW low-power recurrent neural network accelerator with quantization tables for embedded deep learning applications

> Research article (2017 IEEE Asian Solid-State Circuits Conference (A-SSCC), 2017) · cited 18× · AI/ML

**Wikidata**: [openalex:W2781293805](https://www.wikidata.org/wiki/openalex:W2781293805)  
**Source**: https://4ort.xyz/entity/a-21mw-low-power-recurrent-neural-network-accelerator-with-quantization-tables-for-embedded-deep-learning-applications
