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Conferences > CLEO_SI > 2021 > JTu3A > JTu3A.88

Graphene Optoelectronic Artificial Intelligence Accelerators

Weilu Gao, Cunxi Yu, and Ruiyang Chen

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Abstract

We present a graphene-based optoelectronic artificial intelligence accelerator using spatial light modulators and photodetectors, design a method of performing accurate calculations using imperfect components, and show the system capability of accelerating a few representative algorithms.

© 2021 The Author(s)

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