男女羞羞视频在线观看,国产精品黄色免费,麻豆91在线视频,美女被羞羞免费软件下载,国产的一级片,亚洲熟色妇,天天操夜夜摸,一区二区三区在线电影
Global EditionASIA 中文雙語Fran?ais
Opinion
Home / Opinion / From the Press

Dynamic circle formed for AI's adoption

China Daily | Updated: 2025-03-17 07:00
Share
Share - WeChat
Humanoid robots work at a smart factory of electric car manufacturer Zeekr in Ningbo, Zhejiang province, on March 1. Yu Changsheng / for China daily

ByteDance's Doubao large model team has open-sourced a new generation of MoE(Mixture of Experts) training optimization technology called COMET, achieving a 40 percent reduction in model training costs and an average 1.7-fold increase in training efficiency, a breakthrough that could potentially reduce the demand for high-end Nvidia GPUs.

DeepSeek has led the trend among Chinese companies in using algorithmic innovation to break through US chip restrictions, creating conditions for the widespread application of AI in China.

Historically, the United States has held a leading advantage in computing power and algorithms, while China has excelled in application scenarios and data scale. Now, Deep-Seek has disrupted this dynamic by using innovative algorithms to overcome the computing power constraints, unleashing China's advantages in application scenarios and data scale, a process that has accelerated thanks to innovations like Doubao. This means China can take the lead in applying AI across numerous industries and is forming a virtuous cycle of research, development, and application.

For this reason, this year's Government Work Report emphasized policies to strengthen AI applications, calling for the continuous advancement of the AI Plus initiative. It aims to better integrate digital technology with China's manufacturing and market advantages, support the widespread application of large models, and vigorously develop intelligent connected new energy vehicles, AI-powered smartphones and computers, intelligent robots, and other next-generation smart terminals, as well as intelligent manufacturing equipment.

By empowering the transformation and upgrading of traditional industries, AI will help consolidate China's manufacturing advantages. Traditional manufacturing is not only the cornerstone of China's modern industrial system but also underpins a comprehensive industry chain and a vast amount of employment. Applying AI to the R&D, production, procurement, sales, and operational management of traditional manufacturing can improve efficiency and foster innovation. Over the years, China has continuously advanced industrial digitization and the construction of infrastructure, such as big data and cloud computing centers, laying a solid foundation for the application of AI.

AI can also play a significant role in cultivating emerging and future industries. In fact, many of China's breakthroughs in emerging industries are related to AI, including the intelligent connected new energy vehicle industry, industrial and humanoid robots, and embodied intelligent applications such as smart drones. In the future, AI will be indispensable in service sectors such as education, healthcare, and entertainment, as well as in future industries such as commercial aerospace and the low-altitude economy.

The global competition around AI has just begun. China needs to continue to make efforts to cultivate talent for basic research and breakthroughs in computing power bottlenecks, so that it can accelerate technological penetration and achieve a virtuous cycle of intelligent and integrated development.

21ST CENTURY BUSINESS HERALD

Most Viewed in 24 Hours
Top
BACK TO THE TOP
English
Copyright 1995 - . 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
主站蜘蛛池模板: 赤壁市| 乌审旗| 汝阳县| 巍山| 阿鲁科尔沁旗| 壤塘县| 乐亭县| 黑山县| 双辽市| 南汇区| 钟山县| 招远市| 荆门市| 子长县| 连城县| 区。| 宣汉县| 上杭县| 重庆市| 武安市| 万安县| 潜江市| 滕州市| 奇台县| 黄浦区| 巴彦淖尔市| 修武县| 五指山市| 孟州市| 美姑县| 古交市| 庆云县| 涿鹿县| 民权县| 兴安县| 厦门市| 双柏县| 博湖县| 开阳县| 雷山县| 武隆县| 贡觉县| 广汉市| 泽州县| 乌什县| 太仓市| 承德县| 潮安县| 读书| 琼中| 襄樊市| 东山县| 南平市| 辰溪县| 潮州市| 肥东县| 保定市| 洮南市| 托里县| 三都| 赤城县| 江源县| 霍城县| 江西省| 平谷区| 高青县| 朝阳区| 上栗县| 永丰县| 闸北区| 内乡县| 哈巴河县| 塔城市| 东宁县| 读书| 武安市| 德兴市| 仙居县| 奉贤区| 天水市| 凤翔县| 郎溪县|