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Author

Hong-Li Wang

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Preprint Sep 2026

Silicon nitride nanophotonics for low-redundancy 3D convolution

Three-dimensional (3D) convolution extracts correlations in high-dimensional data, but overlapping receptive fields introduce substantial redundant data movement. Here, we demonstrate a silicon nitride 3D optical convolution accelerator (3D-OCA) that reconstructs receptive fields through coordinate-aware wavelength-to-...

Shuai Hu, Jing-Cheng Li, Qi-Chao Ding et al. · 0 citations

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