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ORCID"A 12-nm 0.62-1.61 mW Ultra-Low Power Digital CIM-based Deep-Learning ..."
En-Jui Chang et al. (2023)
- En-Jui Chang, Cheng-Xin Xue, Chetan Deshpande, Gajanan Jedhe, Jenwei Liang, Chih-Chung Cheng, Hung-Wei Lin, Chia-Da Lee, Sushil Kumar, Kim Soon Jway, Zijie Guo, Ritesh Garg, Allen-Cl Lu, Chien-Hung Lin, Meng-Han Hsieh, Tsung-Yao Lin, Chih-Cheng Chen:
A 12-nm 0.62-1.61 mW Ultra-Low Power Digital CIM-based Deep-Learning System for End-to-End Always-on Vision. VLSI Technology and Circuits 2023: 1-2
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