High-Accuracy and Energy-Efficient Acoustic Inference using Hardware-Aware Training and a 0.34nW/Ch Full-Wave Rectifier-Reference-Cited by-同舟云学术

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High-Accuracy and Energy-Efficient Acoustic Inference using Hardware-Aware Training and a 0.34nW/Ch Full-Wave Rectifier

Published:2023-06-11 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)
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Author:

Zhou Sheng¹,Chen Xi¹,Kim Kwantae¹,Liu Shih-Chii¹

Affiliation:

1. University of Zurich and ETH Zurich,Institute of Neuroinformatics,Zurich,Switzerland

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10168547/10168548/10168561.pdf?arnumber=10168561

Reference16 articles.

1. Decoupled weight decay regularization;loshchilov,0

2. A Biquadratic Cell Based on the Flipped-Source-Follower Circuit

3. SGDR: stochastic gradient descent with warm restarts;loshchilov,0

4. A 26 $\mu$W 8 bit 10 MS/s Asynchronous SAR ADC for Low Energy Radios

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