• rcbrk@lemmy.ml
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    1 hour ago

    Probably yet another overblown headline.

    Does anyone have access to the full text of the paper?

    https://doi.org/10.1126/science.adv7434

    Abstract

    Large-scale generative artificial intelligence (AI) is facing a severe computing power shortage. Although photonic computing achieves excellence in decision tasks, its application in generative tasks remains formidable because of limited integration scale, time-consuming dimension conversions, and ground-truth-dependent training algorithms. We produced an all-optical chip for large-scale intelligent vision generation, named LightGen. By integrating millions of photonic neurons on a chip, varying network dimension through proposed optical latent space, and Bayes-based training algorithms, LightGen experimentally implemented high-resolution semantic image generation, denoising, style transfer, three-dimensional generation, and manipulation. Its measured end-to-end computing speed and energy efficiency were each more than two orders of magnitude greater than those of state-of-the-art electronic chips, paving the way for acceleration of large visual generative models.

  • tfowinder@sh.itjust.works
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    3 hours ago

    100 times faster than 5090 ? While also being more efficient?

    This thing need deeeper dive, sound too good to be true.

    • ☆ Yσɠƚԋσʂ ☆@lemmy.mlOP
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      1 hour ago

      It’s like saying silicon chips being orders of magnitude faster than vacuum tubes sounds too good to be true. Different substrate will have fundamentally different properties from silicon.