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Weighing in on photonic-based machine learning for automotive mobility

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Fig. 1: The future of in-vehicle processing balances between cloud and edge computing.

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Acknowledgements

The views expressed in this text belong solely to the authors and do not necessarily reflect the views of the authors’ employer or other groups.

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Authors and Affiliations

  1. Toyota Research Institute of North America, Ann Arbor, MI, USA

    Sean Phillip Rodrigues, Ziqi Yu, Paul Schmalenberg, Jae Lee, Hideo Iizuka & Ercan M. Dede

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  1. Sean Phillip Rodrigues
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  2. Ziqi Yu
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  3. Paul Schmalenberg
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  4. Jae Lee
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  5. Hideo Iizuka
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  6. Ercan M. Dede
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Correspondence to Sean Phillip Rodrigues.

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Competing interests

The authors work at the Toyota Research Institute of North America and are employees of Toyota Motor Engineering & Manufacturing North America.

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Rodrigues, S.P., Yu, Z., Schmalenberg, P. et al. Weighing in on photonic-based machine learning for automotive mobility. Nat. Photonics 15, 66–67 (2021). https://doi.org/10.1038/s41566-020-00736-0

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