research
∙
06/08/2016
Structured Convolution Matrices for Energy-efficient Deep learning
We derive a relationship between network representation in energy-effici...
share
research
∙
06/07/2016
Deep neural networks are robust to weight binarization and other non-linear distortions
Recent results show that deep neural networks achieve excellent performa...
research
∙
01/16/2016
TrueHappiness: Neuromorphic Emotion Recognition on TrueNorth
We present an approach to constructing a neuromorphic device that respon...
research
∙
03/26/2015
Gibbs Sampling with Low-Power Spiking Digital Neurons
Restricted Boltzmann Machines and Deep Belief Networks have been success...
research
∙
09/28/2010