A Power-Efficient Architecture For On-Chip Reservoir Computing

ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2019: WORKSHOP AND SPECIAL SESSIONS(2019)

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摘要
Reservoir computing is a neuromorphic computing paradigm which is well suited for hardware implementations. In this work, an enhanced reservoir architecture is introduced as to lower the losses and improve mixing behaviour in silicon photonic reservoir computing designs.
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关键词
Reservoir computing, Silicon photonics, Hardware implementation
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