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Seven Chinese Ministries Release Major Policy on Brain-Computer Interfaces


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According to CCTV News, seven Chinese government bodies—including the

Ministry of Industry and Information Technology, National Development and Reform

Commission, Ministry of Education, National Health Commission, State-owned Assets

Supervision and Administration Commission, Chinese Academy of Sciences, and National

Medical Products Administration—jointly released a major policy document titled

Implementation Opinions on Promoting Innovation and Development of the Brain-Computer

Interface (BCI) Industry.


The document sets out key goals: by 2027, China aims to achieve breakthroughs in core BCI

technologies and initially establish advanced systems for technology, industry, and standards.

The performance of electrodes, chips, and complete devices should reach internationally

advanced levels. BCI applications will be accelerated across industrial manufacturing,

medical health, and consumer sectors. The plan also includes forming 2 to 3 industrial

clusters and piloting a range of new application scenarios, models, and business forms.

By 2030, China intends to significantly enhance its BCI innovation capabilities and build a

secure and reliable industrial system. The goal is to cultivate 2 to 3 globally influential leading

enterprises, along with a number of specialized and innovative small and medium-sized firms,

ultimately creating a globally competitive industry ecosystem.

The policy emphasizes breakthroughs in key BCI chips, including high-channel, high-speed

neural signal acquisition chips with enhanced analog-digital conversion, channel

management, and noise suppression capabilities. It also calls for the development of high-

performance, ultra-low-power neural signal processing chips with integrated perception,

computing, and regulation functions, as well as ultra-low-power, high-speed communication

chips with strong anti-interference capabilities.

Additionally, the document highlights the need for advanced auxiliary equipment, such as

devices that combine neural signals with electromyography, electrooculography,

electrocardiography, and near-infrared signals to improve precision in interaction and

perceptual assessment. It also calls for high-precision surgical robots capable

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