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(yǔ)Fran?ais
World
Home / World / Europe

China in next phase of AI revolution: Report

By ZHENG WANYIN in London | China Daily | Updated: 2025-07-03 07:59
Share
Share - WeChat
A humanoid robot dances at a robot manufacturing company in Shenzhen, Guangdong province, on June 25. LI AN/XINHUA

China is competitively positioned in the next phase of the artificial intelligence revolution, characterized by real-world application rather than computing power, as the country leads in the scale of its market, human resources and manufacturing ecosystem, said a white paper released on Tuesday.

Titled China and the Global AI Race, the paper was produced by the Cheung Kong Graduate School of Business and it explores the latest developments in AI, with a particular focus on the role of China in this technological frontier.

"The physical world will become the space of highest potential for AI development in the next few years," said Sun Tianshu, dean's distinguished chair professor of information systems at the school, in the paper, citing smart hardware, especially robotics, as an example of that integration.

As robots and other smart devices must be built, tested, refined and distributed in real-world settings, the vast size of China's domestic market offers not only diverse scenarios for experimentation and improvement but also a natural advantage for scaling up, the paper said.

The country's mass manufacturing capabilities also enable fast delivery of the products, as plants, labor force, components production lines, from sensors and actuators to circuit boards and servos, and the distribution centers are all in place, the paper said.

"From mega-factories and distribution centers to smart hospitals and elder care facilities, there is a ready-made landscape," it said.

"Algorithms can be developed anywhere, but the hardware and smart manufacturing required to embody AI in the physical world cannot easily be migrated elsewhere other than in China," Sun said. "The economy of scale in China, as well as the manufacturing ecosystems coordination, mean that while China is in a great position to empower countries to embrace AI, production will largely remain here."

Another catalyst driving China's AI development is "the open-source movement", led by a list of prominent players, including DeepSeek, Qwen and others, the paper said.

Speaking at an online session on Tuesday, marking the launch of the paper, Teng Bingsheng, a professor of strategic management and associate dean for strategic research at the Cheung Kong Graduate School of Business, said the rise of open-source has shifted the focus of Chinese tech firms from investing in large language models to developing their own applications, as they no longer need to "reinvent the wheel".

Empowering startups

The move has, in a way, empowered Chinese startups, as they now can have a bigger say in the AI revolution by right of their own innovation on top of existing codes, Teng said.

The giveaway could also foster international collaboration, with China acting as the "role model", the report said.

"Many developing countries are at a stage of 'what is next?'," said Edward Tse, founder and CEO of Gao Feng Advisory Company, in the paper. "Chinese models, particularly the open-source ones, have been doing well so far and are credible alternatives to the Western models. People are going to look to China more, and there will be more people choosing to go with the Chinese way."

Chinese companies are already exporting AI-powered manufactured goods, from electric vehicles and smart appliances to industrial equipment, while the future focus will be more on exporting intelligent services, with AI-as-a-service platforms, cloud computing solutions and autonomous systems all to come, the report said.

"From smart city projects in Southeast Asia to AI-driven logistics networks in Africa, China's AI footprint is expanding fast," it said.

Despite fierce tech competition gripping the world, the diffusion of open-source large language models has been "significantly enhanced", notably with Chinese and the United States open-source communities collaborating on many projects, the report noted.

At the online session, when asked whether the AI sector is viewed more as a sphere of collaboration or competition, Alex Roberts, head of China TMT at Linklaters, a British multinational law firm, said businesses are eager to seek a certain level of harmonization to allow technologies to flow as freely as possible.

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: 衡东县| 林州市| 衡阳市| 秭归县| 中西区| 故城县| 临湘市| 富顺县| 上犹县| 陇川县| 铁岭县| 安阳县| 临高县| 泰来县| 德庆县| 昌江| 中西区| 永宁县| 定襄县| 通辽市| 天镇县| 昂仁县| 栾川县| 苏尼特右旗| 株洲市| 彭水| 雅江县| 辽源市| 秦安县| 平潭县| 图木舒克市| 临湘市| 呼图壁县| 集贤县| 炎陵县| 滕州市| 永新县| 广昌县| 梅河口市| 会泽县| 册亨县| 武陟县| 海城市| 石棉县| 于都县| 手游| 大余县| 永平县| 郎溪县| 峡江县| 三明市| 紫阳县| 车险| 安龙县| 万盛区| 雅江县| 耒阳市| 洪洞县| 菏泽市| 招远市| 根河市| 锡林郭勒盟| 延边| 乐业县| 涞源县| 洞头县| 衡山县| 隆安县| 贵德县| 昭平县| 汨罗市| 吉安市| 英超| 永德县| 墨竹工卡县| 治多县| 长沙县| 瑞安市| 宁安市| 连城县| 佳木斯市| 宣威市|