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Michigan Publishing

A 0.23mW Heterogeneous Deep-Learning Processor Supporting Dynamic Execution of Conditional Neural Networks

Overview of attention for article published in this source, September 2018
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Title
A 0.23mW Heterogeneous Deep-Learning Processor Supporting Dynamic Execution of Conditional Neural Networks
Published by
Institute of Electrical and Electronics Engineers (IEEE), September 2018
DOI 10.1109/esscirc.2018.8494279
Authors

Hsi-Shou Wu, Zhengya Zhang, Marios Papaefthymiou

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The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 38%
Researcher 3 23%
Student > Doctoral Student 2 15%
Unknown 3 23%
Readers by discipline Count As %
Engineering 6 46%
Agricultural and Biological Sciences 1 8%
Nursing and Health Professions 1 8%
Psychology 1 8%
Computer Science 1 8%
Other 0 0%
Unknown 3 23%