@inproceedings{b6777746d7ad49f7a41a63e609122c5c,
title = "Silicon photonics for AI hardware",
abstract = "Neuromorphic photonic processors promise orders of magnitude improvements in both speed and energy efficiency over purely digital electronic approaches. We will provide an overview of silicon photonic systems for deep learning inference and in situ training.",
author = "Shastri, {B. J.} and Marquez, {B. A.} and M. Filipovich and Z. Guo and Howard, {E. R.} and H. Morison and Tait, {A. N.} and {Ferreira de Lima}, T. and C. Huang and Prucnal, {P. R.}",
note = "Publisher Copyright: {\textcopyright} 2020 The Author(s); Integrated Photonics Research Silicon and Nanophotonics, IPRSN 2020 ; Conference date: 13-07-2020 Through 16-07-2020",
year = "2020",
language = "English (US)",
series = "Optics InfoBase Conference Papers",
publisher = "OSA - The Optical Society",
booktitle = "Integrated Photonics Research Silicon and Nanophotonics, IPRSN 2020",
}