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All-optical synthesis chip for large-scale intelligent semantic vision generation.
Yitong Chen1, Xinyue Sun1, Longtao Tan2
1Institute of Image Communication and Network Engineering, Department of Electronic Engineering, School of Information Science and Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China.
Science (New York, N.Y.)
|December 18, 2025
Summary
Researchers developed LightGen, an all-optical chip for generative artificial intelligence (AI). This photonic computing chip significantly accelerates vision generation tasks, offering a solution to AI
Area of Science:
- Photonics
- Artificial Intelligence
- Computer Vision
Background:
- Generative artificial intelligence (AI) faces significant computing power limitations.
- Photonic computing excels in decision tasks but struggles with generative AI due to integration scale, dimension conversions, and training dependencies.
Purpose of the Study:
- To develop an all-optical chip for large-scale intelligent vision generation.
- To overcome the limitations of electronic chips in accelerating visual generative models.
Main Methods:
- Integration of millions of photonic neurons on a single chip.
- Implementation of an optical latent space for varying network dimensions.
- Application of Bayes-based training algorithms for generative tasks.
Main Results:
- Experimental demonstration of high-resolution semantic image generation, denoising, style transfer, and 3D generation.
- Achieved end-to-end computing speed and energy efficiency over two orders of magnitude greater than state-of-the-art electronic chips.
Conclusions:
- The LightGen chip offers a novel solution for accelerating large-scale visual generative models.
- Photonic computing can be effectively applied to complex generative AI tasks, surpassing electronic limitations.
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