10月21日〜22日，台湾で行われたSASIMI2019にて，下田くん（M2）曽我くん(M1)が研究成果を発表しました．
N. Soga, S. Sato and H. Nakahara, “Energy-efficient ECG Signals Outlier Detection Hardware using a Sparse Robust Deep Autoencoder,” The 22nd Workshop on Synthesis And System Integration of Mixed Information technologies (SASIMI), 2019, pp.2-7.
M Shimoda and H. Nakahara, “A Deep Neuro-Fuzzy for False Decision Prevention on an FPGA,” The 22nd Workshop on Synthesis And System Integration of Mixed Information technologies (SASIMI), 2019, pp.56-61.
曽我君の論文が， Best paper awardを受賞しました！
