research
∙
10/24/2020
EEGsig machine learning-based toolbox for End-to-End EEG signal processing
In the quest to realize comprehensive EEG signal processing toolbox, in ...
share
research
∙
11/11/2019
DRiLLS: Deep Reinforcement Learning for Logic Synthesis
Logic synthesis requires extensive tuning of the synthesis optimization ...
research
∙
05/15/2018
BLASYS: Approximate Logic Synthesis Using Boolean Matrix Factorization
Approximate computing is an emerging paradigm where design accuracy can ...
research
∙
01/23/2018
Flexible Deep Neural Network Processing
The recent success of Deep Neural Networks (DNNs) has drastically improv...
research
∙
05/11/2017
Hardware-Software Codesign of Accurate, Multiplier-free Deep Neural Networks
While Deep Neural Networks (DNNs) push the state-of-the-art in many mach...
research
∙
12/12/2016
Understanding the Impact of Precision Quantization on the Accuracy and Energy of Neural Networks
Deep neural networks are gaining in popularity as they are used to gener...
research
∙
07/19/2016
