Edge AI prospect using the NeuroEdge computing system: Introducing a novel neuromorphic technology
暂无分享,去创建一个
Jae-Min Lee | Dong-Seong Kim | Cosmas Ifeanyi Nwakanma | Jae-Woo Kim | C. I. Nwakanma | Jae-Min Lee | Dong-Seong Kim | Jae-Woo Kim
[1] Baozi Chen,et al. An Overhead-Free Max-Pooling Method for SNN , 2020, IEEE Embedded Systems Letters.
[2] Yongseok Lee,et al. Power Consumption and Accuracy in Detecting Pedestrian Images on Neuromorphic Hardware Accelerated Embedded Systems , 2019, 2019 Tenth International Green and Sustainable Computing Conference (IGSC).
[3] Narayan Srinivasa,et al. Low-Power Neuromorphic Hardware for Signal Processing Applications: A review of architectural and system-level design approaches , 2019, IEEE Signal Processing Magazine.
[4] Jungyun Kim. New Neuromorphic AI NM500 and Its ADAS Application , 2018 .
[5] Hossam Faris,et al. Chapter 28 – Evolving Radial Basis Function Networks Using Moth–Flame Optimizer , 2017 .
[6] Tae-Gyu Chang,et al. Neuromorphic Hardware Accelerated Lane Detection System , 2017, IEICE Trans. Inf. Syst..
[7] Kartikeya Bhardwaj,et al. EdgeAI: A Vision for Deep Learning in IoT Era , 2019, ArXiv.
[8] Moonju Park,et al. Energy Efficiency of Machine Learning in Embedded Systems Using Neuromorphic Hardware , 2020, Electronics.