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

Zhou, Sheng; Chen, Xi; Kim, Kwantae; Liu, Shih-Chii

doi:10.1109/aicas57966.2023.10168561

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

Zhou, Sheng; Chen, Xi; Kim, Kwantae; Liu, Shih-Chii (2023). High-Accuracy and Energy-Efficient Acoustic Inference using Hardware-Aware Training and a 0.34nW/Ch Full-Wave Rectifier. In: 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS), Hangzhou, China, 11 June 2023 - 13 June 2023, Institute of Electrical and Electronics Engineers.

Find similar titles

Additional indexing

Item Type:	Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:	07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:	570 Life sciences; biology
Scopus Subject Areas:	Physical Sciences > Artificial Intelligence Physical Sciences > Computer Vision and Pattern Recognition Physical Sciences > Hardware and Architecture Physical Sciences > Information Systems Physical Sciences > Electrical and Electronic Engineering
Language:	English
Event End Date:	13 June 2023
Deposited On:	21 Nov 2023 12:48
Last Modified:	20 Jun 2024 10:39
Publisher:	Institute of Electrical and Electronics Engineers
Series Name:	IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)
ISBN:	9798350332674
OA Status:	Green
Publisher DOI:	https://doi.org/10.1109/aicas57966.2023.10168561
Project Information:	Funder: National Science Foundation Grant ID: Project Title: