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2. Conference Papers7

  Department of Electrical Engineering and Computer Science Intelligent Digital Systems Lab

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Showing results 1 to 7 of 7

Conference
A 3.3-To-11V-Supply-Range 10μW/Ch Arbitrary-Waveform-Capable Neural Stimulator with Output-Adaptive-Self-Bias and Supply-Tracking Schemes in 0.18μm Standard CMOS
  • Wie, Jeongyoon ; 
  • Jung, Sangwoo ; 
  • Seol, Taeryoung ; 
  • Kim, Geunha ; 
  • Lee, Sehwan ; 
  • Jang, Homin ; 
  • Kim, Samhwan ; 
  • Shin, Yeon Jae ; 
  • Jang, Jae Eun ; 
  • Kung, Jaeha ; 
    • et al
  • 2024-04-24
  • Wie, Jeongyoon. (2024-04-24). A 3.3-To-11V-Supply-Range 10μW/Ch Arbitrary-Waveform-Capable Neural Stimulator with Output-Adaptive-Self-Bias and Supply-Tracking Schemes in 0.18μm Standard CMOS. 44th Annual IEEE Custom Integrated Circuits Conference, CICC 2024, 1–2. doi: 10.1109/CICC60959.2024.10529100
  • IEEE Solid-State Circuits Society
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Conference
Noise Tolerance of an Energy-Scalable Deep Learning Model with Two Extreme Bit-Precisions
  • 2019-10-07
  • Jung, Sangwoo. (2019-10-07). Noise Tolerance of an Energy-Scalable Deep Learning Model with Two Extreme Bit-Precisions. International System-on-Chip Design Conference, ISOCC 2019, 71–72. doi: 10.1109/ISOCC47750.2019.9078497
  • Institute of Semiconductor Engineers of Korea (반도체공학회), IEEE Circuits and Systems (CAS) Society
  • View : 380
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Conference
ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack
  • 2021-11-22
  • Park, Dahoon. (2021-11-22). ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack. British Machine Vision Conference, 1–14.
  • British Machine Vision Association (BMVA)
  • View : 131
  • Download : 50
Conference
Adaptive Input-to-Neuron Interlink Development in Training of Spike-Based Liquid State Machines
  • 2021-05-24
  • Hwang, Sangwoo. (2021-05-24). Adaptive Input-to-Neuron Interlink Development in Training of Spike-Based Liquid State Machines. IEEE International Symposium on Circuits and Systems (ISCAS 2021), 382–386. doi: 10.1109/ISCAS51556.2021.9401085
  • IEEE Circuits and Systems Society
  • View : 170
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Conference
DualPIM: A Dual-Precision and Low-Power CNN Inference Engine Using SRAM- and eDRAM-based Processing-in-Memory Arrays
  • 2022-06-14
  • Jung, Sangwoo. (2022-06-14). DualPIM: A Dual-Precision and Low-Power CNN Inference Engine Using SRAM- and eDRAM-based Processing-in-Memory Arrays. 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2022, 70–73. doi: 10.1109/AICAS54282.2022.9869905
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 191
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Conference
LightNorm: Area and Energy-Efficient Batch Normalization Hardware for On-Device DNN Training
  • Noh, Seock-Hwan ; 
  • Park, Junsang ; 
  • Park, Dahoon ; 
  • Koo, Jahyun ; 
  • Choi, Jeik ; 
  • Kung, Jaeha
  • 2022-10-25
  • Noh, Seock-Hwan. (2022-10-25). LightNorm: Area and Energy-Efficient Batch Normalization Hardware for On-Device DNN Training. IEEE International Conference on Computer Design, 443–450. doi: 10.1109/ICCD56317.2022.00072
  • IEEE Computer Society
  • View : 225
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Conference
A 1V 136.6dB-DR 4kHz-BW ΔΣ Current-to-Digital Converter with a Truncation-Noise-Shaped Baseline-Servo-Loop in 0.18μm CMOS
  • 2023-02-22
  • Seol, Tae Ryoung. (2023-02-22). A 1V 136.6dB-DR 4kHz-BW ΔΣ Current-to-Digital Converter with a Truncation-Noise-Shaped Baseline-Servo-Loop in 0.18μm CMOS. International Solid-State Circuits Conference, 482–484. doi: 10.1109/ISSCC42615.2023.10067537
  • IEEE Solid-State Circuits Society
  • View : 142
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