[2019.05.06] Research achievements

[2019.05.06] The paper titled “MixNet: An energy-scalable and computationally lightweight deep learning accelerator” is accepted to ISLPED 2019 @ EPFL, Switzerland. Congrats to Sangwoo Jung!

[2019.05.06] Our collaborated research paper with POSTECH titled “Similarity-based LSTM architecture for energy-efficient edge-level speech recognition” is accepted to ISLPED 2019 @ EPFL, Switzerland.

[2019.02.15] The paper titled “Peregrine: A flexible hardware accelerator for LSTM with limited synaptic connection patterns” is accepted to DAC 2019 @ Las Vegas, USA.