国产av不卡一区二区_欧美xxxx做受欧美_成年人看的毛片_亚洲第一天堂在线观看_亚洲午夜精品久久久中文影院av_8x8ⅹ国产精品一区二区二区_久久精品国产sm调教网站演员_亚洲av综合色区无码一二三区_成人免费激情视频_国产九九九视频

Global EditionASIA 中文雙語Fran?ais
China
Home / China / Innovation

New optical chip can help advance generative AI

By ZHOU WENTING in Shanghai | CHINA DAILY | Updated: 2025-12-20 08:29
Share
Share - WeChat

Shanghai Jiao Tong University announced a breakthrough in computing power chips on Friday by introducing LightGen, an all-optical computing chip capable of running large-scale generative artificial intelligence models, which provides insights into addressing the immense computational and energy demands in the generative AI era.

The research team claimed that it is the first time an all-optical computing chip has been developed to support large-scale semantic and visual generative models. A paper about the study was published on the website of the journal Science on Friday, where it was highlighted as a featured paper.

Generative AI is increasingly being applied to complex real-world scenarios, such as generating images from text in seconds and creating videos in a matter of moments. As these models grow larger and more sophisticated, the demand for computational power and energy efficiency becomes more pressing. In the post-Moore's law era, global research efforts are shifting towards next-generation computing power chips like optical computing.

Currently, optical chips excel at accelerating discriminative tasks, but fall short of supporting cutting-edge large-scale generative models. The challenge lies in enabling next-generation optical computing chips to run complex generative models, a recognized problem in the field of intelligent computing globally.

Scientists explained that optical computing involves processing information using light instead of electrons within transistors. Light naturally offers high speed and parallelism, making it a promising direction for overcoming computational and energy bottlenecks. However, applying optical computing to generative AI is complex due to the large scale of these models and their need to transform across multiple dimensions.

Chen Yitong, a leading researcher on the team, said that LightGen achieves its performance leap by overcoming three critical bottlenecks: integrating millions of optical neurons on a single chip, achieving all-optical dimensional transformation, and developing a training algorithm for optical generative models that does not rely on ground truth.

"Any one of these breakthroughs alone would be deemed significant. LightGen achieves all three simultaneously, enabling an end-to-end, all-optical implementation for large-scale generative tasks," said Chen, who is also an assistant professor at Shanghai Jiao Tong University's School of Integrated Circuits.

LightGen is not merely about using electronics to assist optics in generation. It achieves a complete "input-understanding-semantic manipulation-generation" loop on an all-optical chip, according to the research team. After an image is fed into the chip, the system can extract and represent semantic information, generating new media data under semantic control, effectively enabling light to "understand" and "cognize" semantics.

Experiments in their research demonstrated that LightGen can perform high-resolution image semantic generation, 3D generation, high-definition video generation, and semantic control, supporting various large-scale generative tasks like denoising and feature transfer.

In performance evaluations, LightGen adhered to rigorous computational standards. It achieved comparable generation quality to leading electronic neural networks, such as Stable Diffusion and NeRF, while measuring end-to-end time and energy consumption. Tests showed that even using relatively outdated input devices, LightGen achieved computational and energy efficiency improvements of two orders of magnitude compared to top digital chips. With advanced devices, LightGen could theoretically achieve computational power improvements of seven orders of magnitude and energy efficiency improvements of eight orders.

The research team said that the study emphasizes that as generative AI becomes more integrated into production and daily life, developing next-generation computing power chips capable of executing cutting-edge tasks required by modern AI society becomes imperative.

"LightGen opens a new path for advancing generative AI with higher speed and efficiency, providing a fresh direction for research into high-speed, energy-efficient generative intelligent computing," said Chen.

Top
BACK TO THE TOP
English
Copyright 1994 - . All rights reserved. The content (including but not limited to text, photo, multimedia information, etc) published in this site belongs to China Daily Information Co (CDIC). Without written authorization from CDIC, such content shall not be republished or used in any form. Note: Browsers with 1024*768 or higher resolution are suggested for this site.
License for publishing multimedia online 0108263

Registration Number: 130349
FOLLOW US
 
99久久久无码国产精品| 色偷偷av一区二区三区| 亚洲成人综合视频| a级高清视频欧美日韩| 日本不卡一区二区三区| 亚洲欧美亚洲| 99久久久久| 精品久久精品| 国内成人自拍| 欧美精品一二| 热久久天天拍国产| 欧美午夜精品一区二区三区电影| 亚洲肉体裸体xxxx137| 欧美日韩看看2015永久免费| 久久精品色综合| 国产精品chinese在线观看| 国产一区二区三区免费在线| 在线不卡一区| 久久精品97| 欧美日韩破处视频| 成人97精品毛片免费看| 国产精品3区| 欧美片第一页| 黄色aa久久| 欧美hdxxxx| 精品极品在线| 91久久国产综合久久91猫猫| 国产精品13p| 国精一区二区三区| 国产va在线视频| 欧美一级大黄| 欧美在线se| 日韩影片在线观看| 老牛国内精品亚洲成av人片| 欧美做受69| 国产尤物久久久| 日韩欧美中文| 午夜精品亚洲| 亚洲在线一区| 麻豆精品新av中文字幕| 国产在线看一区| 成人av资源在线| 91网上在线视频| 国产欧美日韩卡一| 亚洲欧美另类久久久精品2019| 国产精品乱子久久久久| 国产精品污www在线观看| 亚洲视频在线一区| 中国色在线观看另类| 亚洲精品国产无天堂网2021| 精品国产福利在线| 9999在线精品视频| 国产九色在线| 超碰在线caoporen| 久操av在线| 亚洲人成午夜免电影费观看| 国产精品久久久久77777丨| 九九99久久精品在免费线bt| 欧美一区二区三区红桃小说| 波多野结衣的一区二区三区| 精品中文字幕久久久久久| 欧美三级在线视频| 精品中文av资源站在线观看| 国产自产视频一区二区三区| 99久久免费精品高清特色大片| 国产日产欧美一区二区三区| 亚洲精品v日韩精品| 欧美性猛交xxxx黑人| 欧美日韩国产美女| 欧美精品一区男女天堂| 日韩中文字幕在线精品| 国内精品免费午夜毛片| 中文一区在线观看| 一个人看免费www视频有多爽| 成年网站免费视频黄| 欧美h版电影| 成人在线免费公开观看视频| a毛片不卡免费看片| 先锋欧美三级| 视频小说一区二区| 韩日成人在线| 狠狠色伊人亚洲综合成人| 久久色.com| 亚洲色图另类专区| 欧美网站在线观看| 亚洲精品国产精品自产a区红杏吧| 久久久成人av| 在线观看免费国产成人软件| 国产又白又嫩又爽又黄| a视频免费看| 91美女视频在线| 成人免费福利| 美女网站一区| 欧美国产另类| 国产毛片精品国产一区二区三区| 国产日韩欧美精品一区| 一本色道**综合亚洲精品蜜桃冫| 欧美一二区视频| 欧美成人免费全部| 九色porny丨精品自拍视频| 黄色免费观看| 国产精品一级伦理| yw.尤物在线精品视频| 要久久爱电视剧全集完整观看| 综合视频在线| 国产高清在线精品| 亚洲三级在线免费观看| 7777精品伊人久久久大香线蕉完整版 | 国产精品久久久久国产精品日日 | 狠狠色丁香久久综合频道| 国产又粗又猛又爽又黄91精品| 国产日韩欧美一区二区三区乱码 | 欧美系列一区二区| 伊人精品在线观看| 国外成人免费在线播放| 国产成人精品一区二区免费视频| 成人嫩草影院免费观看| 老司机精品影院| 国产精品视频首页| 国内精品嫩模av私拍在线观看| 国产精品88888| 国产精品精品国产色婷婷| 欧美午夜精品免费| 久久亚洲私人国产精品va| 污的视频网站| 天堂√在线中文官网在线| 亚洲成人短视频| 久久社区一区| 国产999精品久久久久久绿帽| 亚洲国产另类av| 亚洲欧美精品一区二区| 欧美乱大交xxxxx免费| 美日韩黄色片| 在线观看欧美日韩电影| 欧美成人自拍| 成人涩涩免费视频| 日韩人体视频一二区| 最好看的2019的中文字幕视频| 欧美a一片xxxx片| 天堂av在线资源| 日韩福利在线观看| 亚洲国产午夜| 中文字幕不卡在线观看| 欧美一区二区三区在线看| 欧美国产视频一区二区| 97超超碰碰| 99thz桃花论族在线播放| 狠狠色狠狠色综合婷婷tag| 精品伊人久久久久7777人| 影视一区二区三区| 成人综合影院| 日韩精品一区二区三区中文| 国产婷婷精品| 中文字幕中文乱码欧美一区二区 | 久久国产情侣| 老司机2019福利精品视频导航| 日韩国产一区二区| 不卡av免费在线观看| 色综合一个色综合| 色综合久久悠悠| 国产羞羞视频| 偷拍视频一区二区三区| 成人三级视频| 91在线国内视频| 欧日韩精品视频| 久久久免费观看视频| 在线观看国产视频一二三| 小明成人免费视频一区| 亚洲三级电影在线观看| 中文字幕亚洲一区二区va在线| 亚洲精品成人久久| 夜夜爽夜夜操| 欧美寡妇性猛交xxx免费| 国产精品免费99久久久| 狠狠色丁香久久婷婷综合_中| 婷婷综合五月天| 精品综合久久久久久97| 成年人免费网站| 国产精品久久久久久久久久齐齐| 国产精品免费看| 亚洲国产精品久久久久秋霞影院 | 国产精品综合网| 后进极品白嫩翘臀在线播放| 天堂久久一区| 日韩国产欧美视频| 亚洲图片自拍偷拍| 综合久久五月天| 丁香资源影视免费观看| 国产精品美女午夜爽爽| 久久久噜噜噜| 日韩欧美亚洲成人| 91极品女神在线| 三级理论午夜在线观看| 日韩大胆成人| 国产成人精品一区二区三区四区| 在线免费不卡视频| 中文先锋资源| av毛片在线播放| 欧美久久99| 亚洲日本中文字幕区| 日韩在线不卡视频| 又黄又爽在线观看| 奇米777国产一区国产二区| 99久久99久久久精品齐齐| 日韩一级免费一区| 软萌小仙自慰喷白浆| 涩涩涩在线视频| 免费在线欧美黄色| 在线观看一区二区视频| av中文字幕网| av网站免费在线观看| 欧美精品色网| 亚洲成a天堂v人片| 51ⅴ精品国产91久久久久久| 欧美性天天影视| 欧美成人日韩| 性感美女久久精品| 先锋影音男人av资源| 在线观看a视频| 91不卡在线观看| 亚洲精品成人少妇| 97国产精品久久| 邻家有女韩剧在线观看国语| 三级精品视频| 久久影院午夜片一区| 亚洲人成网站色ww在线| 伊人精彩视频| 亚洲欧洲av| 久久精品欧美一区二区三区麻豆| 在线观看日韩视频| av二区三区| 精品99re| 99精品视频在线播放观看| 亚洲欧美精品中文字幕在线| 黄网站色大毛片| 精品国内亚洲2022精品成人| 久久九九久精品国产免费直播| 中文字幕在线精品| 免费一级毛片在线观看| 亚洲精品a级片| 亚洲国产精品自拍| 欧美最猛性xxxx免费| 97在线超碰| 琪琪一区二区三区| 欧美精品一区二区三| www浪潮av99com| 成人福利免费在线观看| 国产无遮挡一区二区三区毛片日本| 日韩在线视频导航| 亚洲第一视频| 一区二区电影在线观看| 粉嫩老牛aⅴ一区二区三区| 狠狠鲁男人天堂| 午夜伦理福利在线| 免费精品视频在线| 精品国产区一区| 亚洲精品少妇久久久久久| 妖精视频一区二区三区| 亚洲最大成人网4388xx| 最新国产热播激情视频| 欧美日韩精品免费观看视完整| 久88久久88久久久| 亚洲人成在线观看网站高清| 一二三四在线视频观看社区| 亚洲第一偷拍| 欧美小视频在线观看| 一个人免费观看日本www视频| 国产精品久久久久久久久久辛辛| 91一区二区三区在线播放| 欧美成人激情在线| 99热国产在线中文| 美美哒免费高清在线观看视频一区二区| 精品粉嫩aⅴ一区二区三区四区| 一区二区三区欧美激情| 色狠狠久久aa北条麻妃| 午夜在线小视频| 亚洲在线网站| 亚洲精品456在线播放狼人| 国产最顶级的黄色片在线免费观看| 成人动漫免费在线观看| 欧美性感美女h网站在线观看免费 欧美性xxxx在线播放 | 国产精品一级片在线观看| 国产午夜精品麻豆| 你懂的在线网址| 欧美一区亚洲| 欧美在线不卡一区| 欧美18 19xxx| 999国产精品999久久久久久| 色婷婷一区二区| 全免费a级毛片| 久久久久观看| 亚洲综合999| 91九色论坛| 欧美国产中文高清| 成人免费在线观看入口| 影音先锋中文在线播放| 色在线视频网| 粉嫩aⅴ一区二区三区四区 | 黄色av免费看| 成人午夜av| 欧美日韩一本到| 天天干人人干| 天堂网在线观看国产精品| 欧美日韩你懂的| 国产女王在线**视频| 激情综合自拍| 精品三级av在线| 日韩三级电影网| 久久伊人亚洲| 中日韩美女免费视频网站在线观看 | 欧美大人香蕉在线| 欧美一级在线免费| 日本在线视频1区| 久久综合影音| 一本色道久久88综合日韩精品 | 日韩一级高清毛片| ga∨成人网| 黄色日韩精品| 亚洲精品电影网| 国产在线资源| 丝袜诱惑亚洲看片| 国产亚洲欧美视频| 久操av在线| 久久久久久久电影| 免费国产麻豆传| 日韩精品福利一区二区三区| 色一区在线观看| 国内福利写真片视频在线| 男人的天堂亚洲在线| 中文字幕一区二区精品| 美女的胸无遮挡在线观看| 国产视频在线观看一区二区三区 | 三级国产在线观看| 久久精品999| 久久久久久伊人| 高清一区二区三区av| 亚洲成人av电影在线| 国产福利电影| 一本色道久久综合亚洲精品高清| 国产一区二区日韩精品欧美精品| 欧美激情成人动漫| av在线这里只有精品| 国产69久久精品成人看| 日韩中文一区二区| 一本大道久久a久久综合婷婷| 伊人资源视频在线| 日韩高清不卡一区| 欧美激情亚洲激情| 成人51免费| 色偷偷一区二区三区| 最近最新mv在线观看免费高清| 亚洲特色特黄| 综合国产在线视频| 成人国产一区| 午夜国产精品影院在线观看| 骚视频在线观看| 国产欧美大片| 萌白酱国产一区二区| 日韩三区四区| 亚洲一区二区三区在线| 热国产热中文视频二区| 青青草精品视频| 国产91精品久久久| 亚洲人和日本人hd| 精品不卡在线视频| 国模雨婷捆绑高清在线| 国产精品久久久99| 激情五月色综合亚洲小说| 国产欧美日本| 日韩国产精品久久| 日韩激情av在线免费观看| 激情网站在线| 亚洲日本中文字幕区| 免费一级淫片| 国产在线观看免费一区| 久久久久久高潮国产精品视| 国产suv精品一区二区四区视频| 欧美日韩黄色一区二区| 三区四区电影在线观看| 久久久噜噜噜久久人人看| 软萌小仙自慰喷白浆| 亚洲人体大胆视频| 欧美乱大交做爰xxxⅹ性3| 97品白浆高清久久久久久| 在线不卡免费av| 天堂аⅴ在线地址8| 欧美极品少妇xxxxⅹ高跟鞋| 成人亚洲在线观看| 麻豆精品视频在线观看| 欧美成人精品福利网站| 日韩av有码| 亚洲午夜激情免费视频| 图片一区二区| 欧美精品免费视频| 免费在线看黄网站| 亚洲欧美综合另类在线卡通| 日本免费视频www| 国产精品一二三四| 奇米影视888狠狠狠| 国产精品亚洲欧美|