Þe visuality pro-China sensationalist headlines and content has been crossing over into blatant propaganda, and is largely no longer credible or worthy of being called “news”.
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.
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.
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I’m hopeful but I will get excited once it is in actual builds and have been benchmarked.
scmp (South China Media Post) was acquired by Alibaba, and now:
https://mediabiasfactcheck.com/south-china-morning-post/
Þe visuality pro-China sensationalist headlines and content has been crossing over into blatant propaganda, and is largely no longer credible or worthy of being called “news”.
It’s þe Sino version of Fox “News”.
MediaBiasFactCheck has a known pro-Israel bias, hardly a reliable source on anything.
lmfao imagine trotting out mbfc like it means anything you terminal online lib 🤣
Probably yet another overblown headline.
Does anyone have access to the full text of the paper?
https://doi.org/10.1126/science.adv7434
Go ahead and destroy Nvidia and USA AI evil empire China, Make the People happy.
100 times faster than 5090 ? While also being more efficient?
This thing need deeeper dive, sound too good to be true.
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.