A 12-nm 0.62-1.61 mW Ultra-Low Power Digital CIM-based Deep-Learning System for End-to-End Always-on Vision

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