Abstract:
Here we present our architecture for Silicon Photonic Tensor Core, capable of responding to the needs of Neural Networks, Augmented and Virtual Reality applications. We p...Show MoreMetadata
Abstract:
Here we present our architecture for Silicon Photonic Tensor Core, capable of responding to the needs of Neural Networks, Augmented and Virtual Reality applications. We present a novel version fully integrated, from lasers to photodetectors.
Date of Conference: 05-09 March 2023
Date Added to IEEE Xplore: 19 May 2023
Print on Demand(PoD) ISBN:979-8-3503-1229-4
Department of Electrical and Computer Engineering, The George Washington University, Washington, DC, USA
Department of Electrical and Computer Engineering, The George Washington University, Washington, DC, USA
Department of Physics, Engineering Physics and Astronomy, Queens University, Kingston, Ontario, Canada
Department of Physics, Engineering Physics and Astronomy, Queens University, Kingston, Ontario, Canada
Department of Physics, Engineering Physics and Astronomy, Queens University, Kingston, Ontario, Canada
Department of Electrical and Computer Engineering, The George Washington University, Washington, DC, USA
Optelligence LLC, Upper Marlboro, MD, USA
Contents Department of Electrical and Computer Engineering, The George Washington University, Washington, DC, USA
Department of Electrical and Computer Engineering, The George Washington University, Washington, DC, USA
Department of Physics, Engineering Physics and Astronomy, Queens University, Kingston, Ontario, Canada
Department of Physics, Engineering Physics and Astronomy, Queens University, Kingston, Ontario, Canada
Department of Physics, Engineering Physics and Astronomy, Queens University, Kingston, Ontario, Canada
Department of Electrical and Computer Engineering, The George Washington University, Washington, DC, USA
Optelligence LLC, Upper Marlboro, MD, USA
