Artificial intelligence increasingly demands computing architectures capable of adaptive representation, temporal information processing, and robust operation under uncertainty. However, conventional photonic neural architectures typically rely on predefined computational operations and separate functional modules, lim...
Yu-Ming Zhang, Ruo-Ran Wang, Jing-Cheng Li et al.· 0 citations
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
Optical computing represents a transformative hardware paradigm for the post‐Moore era, exploiting its inherent advantages of high speed, low power consumption, and intrinsic parallelism. Nonetheless, state‐of‐the‐art integrated optical computing systems suffer from critical limitations, including fixed functionality...
Jianwei Cui, Hai-Long Zhou, Hongyan Shi et al.· Laser & Photonics Review...· 1 citation
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.