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Showing results 1 to 4 of 4

1
A 161.6 TOPS/W Mixed-mode Computing-in-Memory Processor for Energy-Efficient Mixed-Precision Deep Neural Networks

Jo, Wooyoung; Kim, Sangjin; Lee, Juhyoung; Um, Soyeon; Li, Zhiyong; Yoo, Hoi-Jun, 2022 IEEE International Symposium on Circuits and Systems, ISCAS 2022, pp.365 - 369, Institute of Electrical and Electronics Engineers Inc., 2022-05

2
An Energy-Efficient Deep Reinforcement Learning FPGA Accelerator for Online Fast Adaptation with Selective Mixed-precision Re-training

Jo, Wooyoung; Lee, Juhyoung; Park, Seunghyun; Yoo, Hoi-Jun, IEEE Asian Solid-State Circuits Conference, A-SSCC 2021, IEEE, 2021-11-07

3
Low-power Autonomous Adaptation System with Deep Reinforcement Learning

Lee, Juhyoung; Jo, Wooyoung; Park, Seong-Wook; Yoo, Hoi-Jun, 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2022, pp.300 - 303, Institute of Electrical and Electronics Engineers Inc., 2022-06

4
OmniDRL: A 29.3 TFLOPS/W Deep Reinforcement Learning Processor with Dualmode Weight Compression and On-chip Sparse Weight Transposer

Lee, Juhyoung; Kim, Sangyeob; Kim, Sangjin; Jo, Wooyoung; Han, Donghyeon; Lee, Jinsu; Yoo, Hoi-Jun, 35th Symposium on VLSI Circuits, VLSI Circuits 2021, Institute of Electrical and Electronics Engineers Inc., 2021-06

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