China's core AI industry scale tops 1.2 tln yuan in 2025: official

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China's core artificial intelligence industry was valued at more than 1.2 trillion yuan,

about 173.9 billion US dollars in 2025,

as the technology is emerging as a powerful driver for high-quality economic development.

The number of AI companies in the country surpassed 6,200 last year.

Li Le Cheng, Minister of Industry and Information Technology,

revealed the number on the sidelines of the annual session of China's national legislature.

According to Li, AI is increasingly being deployed across factories and daily life in China.

By the end of 2025, more than 30% of manufacturing enterprises,

with annual main business turnover of at least 20 million yuan, had adopted AI technologies.

While Chinese companies had released over 300 humanoid robot products,

Li added that Chinese developed AI models are gaining global traction

as China ranked first worldwide in downloads of open source AI models over the past year.

According to this year's government work report,

China will work to create new forms of smart economy this year.

Specific measures include encouraging large-scale commercial application of AI in key sectors and fields,

launching new infrastructure projects on hyper-scale intelligent computing clusters

and accelerating the development of satellite internet.

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Chinese scientists have developed a high precision three-dimensional face database

and achieved a breakthrough in personalized modeling,

which will strongly support more natural human computer interaction.

To enable virtual humans to express vivid emotions,

recognize human identities and demonstrate embodied intelligence,

the key technology is 3D facial key point detection.

However, the lack of large-scale and precisely annotated 3D facial data sets

means that most current 3D facial landmark detection algorithms rely on 2D texture assistants

or non-photorealistic digital 3D faces.

Such 3D facial key point detection has long been hindered by insufficient data and poor generalization ability.

The research team from the Shenzhen Institute of Advanced Technology

under the Chinese Academy of Sciences and Fugian University of Technology

has developed a new curvature-fused graph attention network,

capable of predicting facial landmarks directly from raw point clouds,

which helps achieve an essential improvement from one size fits all to personalized modeling.

This study has been published in the journal IEEE transactions on circuits and systems for video technology.

The research team built a custom 3D, 4D facial acquisition system

and conducted standardized data collection,

creating what it said is the industry's largest high precision,

accurately annotated 3D facial database to date,

comprising approximately 200,000 high fidelity 3D facial scans.

Song Zhang, the corresponding author, said that these databases have become core support

in the key technology chain of humanoid robots providing basic data for high fidelity perception,

expression modeling and behavior generation.

He added that these datasets will further serve the data-driven large model humanoid robot system

to build more natural and intelligent human robot interaction capabilities.

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