@inproceedings{e9d6f78e20c74d8bae3cbbfe9b5feedf,
title = "Photonic Advantage of Optical Encoders",
abstract = "This research presents an optical/digital hybrid ANN which demonstrates a {"}photonic advantage{"} in intermediate classification accuracy over pure electronic ANNs with the same power and latency. The optical encoder uses incoherent light which is suitable for operation in ambient light with no additional optical power needed. Further research is needed to explore its efficiency in more complicated datasets, training algorithms, and nonlinear activation in the optical domain.",
author = "Luocheng Huang and Saswata Mukherjee and Quentin Tanguy and Johannes Froch and Arka Majumdar",
note = "Publisher Copyright: {\textcopyright} 2023 The Author(s); 2023 Conference on Lasers and Electro-Optics, CLEO 2023 ; Conference date: 07-05-2023 Through 12-05-2023",
year = "2023",
month = jan,
day = "1",
language = "English",
series = "2023 Conference on Lasers and Electro-Optics, CLEO 2023",
publisher = "Institute of Electrical and Electronics Engineers",
booktitle = "2023 Conference on Lasers and Electro-Optics, CLEO 2023",
address = "United States",
}