Energy-efficient reconfigurable AI processor

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作者：
Nanjian Wu
机构：
[1] Institute of
来源：
Journal of Semiconductors | 2019年 / 40卷 / 05期
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摘要：
<正>IEEE J. Solid-State Circuits, 54, 1120 (2018)High computational energy-efficiency and rapid real-time response are the major concerns for applications of artificial intelligence in low-power mobile and Internet of Things devices with limited storage capacity. Due to the outstanding superiority of less memory requirement, low computation overhead and negligible accuracy degradation, deep neural networks
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