Leveraging multiplexed metasurfaces for multi-task learning with all-optical diffractive processors
Diffractive Neural Networks (DNNs) leverage the power of light to enhance computational performance in machine learning, offering a pathway to high-speed, low-energy, and large-scale neural information processing. However, most existing DNN architectures are optimized for single tasks and thus lack...
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| Main Authors: | Behroozinia Sahar, Gu Qing |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2024-10-01
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| Series: | Nanophotonics |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/nanoph-2024-0483 |
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