"e-G2C: A 0.14-to-8.31 µJ/Inference NN-based Processor with ..."

Yang Zhao et al. (2022)

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DOI: 10.1109/VLSITECHNOLOGYANDCIR46769.2022.9830335

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type: Conference or Workshop Paper

metadata version: 2024-10-06

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Yang Zhao, Yongan Zhang, Yonggan Fu, Xu Ouyang, Cheng Wan, Shang Wu, Anton Banta, Mathews M. John, Allison Post, Mehdi Razavi, Joseph R. Cavallaro, Behnaam Aazhang, Yingyan Lin:
e-G2C: A 0.14-to-8.31 µJ/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM. VLSI Technology and Circuits 2022: 252-253

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