Untitled

Rix, Antony W.; Bourret, A.; Hollier, M. P.

doi:10.1023/a:1009662506355

Cited by 31 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…ANN enables rapid performance improvement of single specific tasks, such as image recognition 5 , speech recognition 6 , and natural language processing 7 , among others 8 – 12 . However, the human brain works as a multi-channel system 13 including sight, hearing, smell, taste, and touch as shown in Fig. 1a , and even each channel contains multiple sub-channels.…”

Section: Introductionmentioning

confidence: 99%

Metasurface-enabled on-chip multiplexed diffractive neural networks in the visible

Luo¹,

Hu²,

Li³

et al. 2022

Light Sci Appl

172

View full text Add to dashboard Cite

Replacing electrons with photons is a compelling route toward high-speed, massively parallel, and low-power artificial intelligence computing. Recently, diffractive networks composed of phase surfaces were trained to perform machine learning tasks through linear optical transformations. However, the existing architectures often comprise bulky components and, most critically, they cannot mimic the human brain for multitasking. Here, we demonstrate a multi-skilled diffractive neural network based on a metasurface device, which can perform on-chip multi-channel sensing and multitasking in the visible. The polarization multiplexing scheme of the subwavelength nanostructures is applied to construct a multi-channel classifier framework for simultaneous recognition of digital and fashionable items. The areal density of the artificial neurons can reach up to 6.25 × 106 mm−2 multiplied by the number of channels. The metasurface is integrated with the mature complementary metal-oxide semiconductor imaging sensor, providing a chip-scale architecture to process information directly at physical layers for energy-efficient and ultra-fast image processing in machine vision, autonomous driving, and precision medicine.

show abstract