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EERA-KWS: A 163 TOPS/W Always-on Keyword Spotting Accelerator in 28nm CMOS Using Binary Weight Network and Precision Self-Adaptive Approximate Computing
Research article (IEEE Access, 2019) · cited 17× · AI/ML
EERA-KWS: A 163 TOPS/W Always-on Keyword Spotting Accelerator in 28nm CMOS Using Binary Weight Network and Precision Self-Adaptive Approximate Computing
Summary
EERA-KWS: A 163 TOPS/W Always-on Keyword Spotting Accelerator in 28nm CMOS Using Binary Weight Network and Precision Self-Adaptive Approximate Computing is a scholarly article[1].
Key Facts
EERA-KWS: A 163 TOPS/W Always-on Keyword Spotting Accelerator in 28nm CMOS Using Binary Weight Network and Precision Self-Adaptive Approximate Computing's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). EERA-KWS: A 163 TOPS/W Always-on Keyword Spotting Accelerator in 28nm CMOS Using Binary Weight Network and Precision Self-Adaptive Approximate Computing. Retrieved May 24, 2026, from https://4ort.xyz/entity/eera-kws-a-163-tops-w-always-on-keyword-spotting-accelerator-in-28nm-cmos-using-binary-weight-network-and-precision-self
MLA“EERA-KWS: A 163 TOPS/W Always-on Keyword Spotting Accelerator in 28nm CMOS Using Binary Weight Network and Precision Self-Adaptive Approximate Computing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/eera-kws-a-163-tops-w-always-on-keyword-spotting-accelerator-in-28nm-cmos-using-binary-weight-network-and-precision-self.
BibTeX@misc{4ortxyz_eera-kws-a-163-tops-w-always-on-keyword-spotting-accelerator-in-28nm-cmos-using-binary-weight-network-and-precision-self_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{EERA-KWS: A 163 TOPS/W Always-on Keyword Spotting Accelerator in 28nm CMOS Using Binary Weight Network and Precision Self-Adaptive Approximate Computing}}, year = {2026}, url = {https://4ort.xyz/entity/eera-kws-a-163-tops-w-always-on-keyword-spotting-accelerator-in-28nm-cmos-using-binary-weight-network-and-precision-self}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): EERA-KWS: A 163 TOPS/W Always-on Keyword Spotting Accelerator in 28nm CMOS Using Binary Weight Network and Precision Self-Adaptive Approximate Computing — https://4ort.xyz/entity/eera-kws-a-163-tops-w-always-on-keyword-spotting-accelerator-in-28nm-cmos-using-binary-weight-network-and-precision-self (retrieved 2026-05-24)
