| Title: |
A 12-nm 0.62-1.61 mW Ultra-Low Power Digital CIM-based Deep-Learning System for End-to-End Always-on Vision |
| Authors: |
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 |
| Source: |
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) |
| Database: |
IEEE Xplore Digital Library |