Applications of digital micromirror devices in photonic neural networks

Tianyu Wang; Mandar M. Sohoni; Shi-Yuan Ma; Logan G. Wright; Tatsuhiro Onodera; Martin M . Stein; Maxwell Anderson; Brian C. Richard; Peter L. McMahon

doi:10.1117/12.2649385

19 April 2023 Applications of digital micromirror devices in photonic neural networks

Tianyu Wang, Mandar M. Sohoni, Shi-Yuan Ma, Logan G. Wright, Tatsuhiro Onodera, Martin M . Stein, Maxwell Anderson, Brian C. Richard, Peter L. McMahon

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Proceedings Volume PC12435, Emerging Digital Micromirror Device Based Systems and Applications XV; PC1243501 (2023) https://doi.org/10.1117/12.2649385
Event: SPIE OPTO, 2023, San Francisco, California, United States

Abstract

Photonic neural networks have been developed as a hardware platform to accelerate machine-learning inference. Digital micromirror devices (DMDs) have been playing a critical role in developing a variety of photonic neural networks for their ability to manipulate millions of optical spatial modes in a 2D plane at >10 kHz frame rate. DMDs have not only enabled high-throughput machine-learning inference but also made hardware-in-the-loop training possible with photonic neural networks. In this talk, we will review the functions of DMDs in a plethora of photonic-neural-network architectures and discuss how MEMS-based technologies can enable novel photonic neural networks in future.

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Tianyu Wang, Mandar M. Sohoni, Shi-Yuan Ma, Logan G. Wright, Tatsuhiro Onodera, Martin M . Stein, Maxwell Anderson, Brian C. Richard, and Peter L. McMahon "Applications of digital micromirror devices in photonic neural networks", Proc. SPIE PC12435, Emerging Digital Micromirror Device Based Systems and Applications XV, PC1243501 (19 April 2023); https://doi.org/10.1117/12.2649385

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KEYWORDS

Neural networks

Digital micromirror devices

Photonic devices

Photonic microstructures

Convolution

Image processing

Liquid crystals

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