research
∙
01/15/2022
UDC: Unified DNAS for Compressible TinyML Models
Emerging Internet-of-things (IoT) applications are driving deployment of...
share
research
∙
09/08/2019
A Resource-Efficient Embedded Iris Recognition System Using Fully Convolutional Networks
Applications of Fully Convolutional Networks (FCN) in iris segmentation ...
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
