DGIST Scholar

Search

특수문자 Advanced Search
Current filters:
Add filters:

Results 1-6 of 6 (Search time: 0.001 seconds).

Item hits:

Issue Date Title Author(s) Journal View
2021-05-24
Adaptive Input-to-Neuron Interlink Development in Training of Spike-Based Liquid State Machines

Hwang, Sangwoo ;  Lee, Junghyup ;  Kung, Jaeha

IEEE International Symposium on Circuits and Systems (ISCAS 2021), pp.382 - 386, 2021-05-24

 57
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

Seol, Tae Ryoung ;  Lee, Sehwan ;  Kim, Geunha ;  Kim, Samhwan ;  Kim, Euiseong ;  Baik, Seungyeob ;  Kung, Jaeha ;  Choi, Ji-Woong ;  George, Arup Kocheethra ;  Lee, Junghyup

International Solid-State Circuits Conference, pp.482 - 484, 2023-02-22

 38
2022-06-14
DualPIM: A Dual-Precision and Low-Power CNN Inference Engine Using SRAM- and eDRAM-based Processing-in-Memory Arrays

Jung, Sangwoo ;  Lee, Jaehyun ;  Noh, Huiseong ;  Yoon, Jong-Hyeok ;  Kung, Jaeha

4th IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2022, pp.70 - 73, 2022-06-14

 56
2022-10-25
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

IEEE International Conference on Computer Design, pp.443 - 450, 2022-10-25

 83
2019-10-07
Noise Tolerance of an Energy-Scalable Deep Learning Model with Two Extreme Bit-Precisions

Jung, Sangwoo ;  Kung, Jaeha

International System-on-Chip Design Conference, ISOCC 2019, pp.71 - 72, 2019-10-07

 53
2021-11-22
ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack

Park, Dahoon ;  Kown, Kon-Woo ;  Im, Sunghoon ;  Kung, Jaeha

British Machine Vision Conference, pp.1 - 14, 2021-11-22

 51
1

Discover

DGIST

Copyrights ⓒ 2016. Daegu Gyeongbuk Institute of Science & Technology All right reserved.

DGIST Scholar was built with support from the OAK distribution project by the National Library of Korea.

Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.

You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.

Library Services Team, DGIST 333. Techno Jungang-daero, Hyeonpung-myeon, Dalseong-gun, Daegu, 42988, Republic of Korea.

RSS_1.0 RSS_2.0 ATOM_1.0

BROWSE

DGIST LIBRARY FAQ