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Ronald Davis

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Books and Theses

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2024
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Ronald Davis:
Combining RF Machine Learning and RF Photonics to Enable New Analog Communications Architectures. MIT, USA, 2024

Conference and Workshop Papers

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2022
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Zaijun Chen, Alexander Sludds, Ronald Davis, Ian Christen, Lamia Ateshian, Liane Bernstein, Tobias Heuser, Niels Heermeier, James A. Lott, Stephan Reitzenstein, Ryan Hamerly, Dirk R. Englund:
Coherent VCSEL Network Computing. OECC/PSC 2022: 1-3

Informal and Other Publications

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2022
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Zaijun Chen, Alexander Sludds, Ronald Davis, Ian Christen, Liane Bernstein, Tobias Heuser, Niels Heermeier, James A. Lott, Stephan Reitzenstein, Ryan Hamerly, Dirk R. Englund:
Deep Learning with Coherent VCSEL Neural Networks. CoRR abs/2207.05329 (2022)
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Ronald Davis, Zaijun Chen, Ryan Hamerly, Dirk R. Englund:
Frequency-Encoded Deep Learning with Speed-of-Light Dominated Latency. CoRR abs/2207.06883 (2022)

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