TY - GEN
T1 - Meta-optic accelerators for object classifier
AU - Zheng, Hanyu
AU - Liu, Quan
AU - Zhou, You
AU - Kravchenko, Ivan I.
AU - Huo, Yuankai
AU - Valentine, Jason
N1 - Publisher Copyright:
© 2023 The Author (s).
PY - 2023
Y1 - 2023
N2 - A meta-optic platform for accelerating object classification is demonstrated. End-to-end design is used to co-optimize the optical and digital systems resulting in a high-speed and robust classifier with 93.1% accuracy in classifying handwritten digits.
AB - A meta-optic platform for accelerating object classification is demonstrated. End-to-end design is used to co-optimize the optical and digital systems resulting in a high-speed and robust classifier with 93.1% accuracy in classifying handwritten digits.
UR - http://www.scopus.com/inward/record.url?scp=85191450225&partnerID=8YFLogxK
U2 - 10.1364/CLEO_AT.2023.SM3J.2
DO - 10.1364/CLEO_AT.2023.SM3J.2
M3 - Conference contribution
AN - SCOPUS:85191450225
T3 - CLEO: Science and Innovations, CLEO:S and I 2023
BT - CLEO
PB - Optical Society of America
T2 - CLEO: Science and Innovations, CLEO:S and I 2023 - Part of Conference on Lasers and Electro-Optics 2023
Y2 - 7 May 2023 through 12 May 2023
ER -