Seoul National University of Science and Technology
232 Gongneung-ro, Nowon-gu, 01811, Seoul, KOREA
jangsuyeonseoultech.ac.kr
5. "The Design of a Low Power Embedded AI System for Machine Learning"
- Designer : Jang Su Yeon, Jeong Won Sik, Han Chang Yeop, Hwang Dong Hyun
- Technology : Samsung 28nm RFCMOS (1-poly 8-metal)
- Tape Out : 2021. 07. 19
- Power Supply : 1.0V
- Core Size : 2mm x 4mm
4. "A Low Cost and Low Power Neuromorphic Core for Embedded AI System"
- Designer : Jang Su Yeon, Yoon Young Hyun, Han Chang Yeop
- Technology : Samsung 65nm RFCMOS (1-poly 8-metal)
- Tape Out : 2020. 05. 25
- Power Supply : 1.2V
- Core Size : 4mm x 4mm
3. "Stochastic Computing based Machine Learning for Embedded System"
- Designer : Jang Su Yeon, Han Chang Yeop, Kim Jeong Bum
- Technology : Magnachip hynix 0.18um CMOS
- Tape Out : 2019. 11. 25
- Power Supply : 3.3V
- Core Size : 3.4mm x 3.4mm
2. "High-Speed Neuromorphic Network Controller for Multiple Neuro-Memories Processing"
- Designer : Choi Do Young, Yoon Young Hyun, Jang Su Yeon
- Technology : Magnachip hynix 0.35um CMOS
- Tape Out : 2019. 6. 10
- Power Supply : 3.3V
- Core Size : 5mm x 4mm
1. "A Low Power AI Processor for face expression recognition based on k-NN and RBF"
- Designer : Yoon Young Hyun, Jang Su Yeon, Han Chang Yeop, Hwang Gwan Beom
- Technology : Magnachip hynix 0.35um CMOS
- Tape Out : 2019. 1. 14
- Power Supply : 3.3V
- Core Size : 5mm x 4mm