A boy experiences the AI-powered large language model dubbed "Spark Desk", a generative language model launched by iFlytek, a leading Chinese AI company, at the venue for 2023 Smart China Expo in southwest China's Chongqing, Sept. 3, 2023. The 2023 Smart China Expo will be held at Chongqing International Expo Center from Sept. 4 to 6. (Xinhua/Wang Quanchao)

 

South China's Guangdong Province on Monday issued guidance on accelerating the construction of a leading hub for artificial intelligence (AI)  innovation, aiming to secure the top position in the country as a leading intelligent computing power by 2025, and planning to speed up the construction of the "Digital Bay Area."

The overarching goal is to achieve national leadership and global excellence in intelligent computing power by 2025. This includes the establishment of a well-rounded innovation framework for AI technology and further expansion of high-level AI application scenarios, according to the guidance.

The province plans to reach an industry scale of 300 billion yuan ($41.12 billion), with the participation of over 2,000 enterprises, and cultivating Guangdong into a front-runner for national innovation led by AI.

In addition, Guangdong also plans to establish a national hub for intelligent computing power, a "data special zone" within the Guangdong-Hong Kong-Macao Greater Bay Area, and a national showcase for intelligent AI application scenarios. 

It aims to create a favorable development pattern characterized by "interconnected computing power, open-source algorithms, integrated data, and emerging applications," according to the guidance.

Aligned with the specified objectives, Guangdong has devised detailed implementation steps, including the establishment of a comprehensive ecosystem for AI-led computing power, the creation of key nodes in the national computing power network, and the development of city-level computing platforms that are in sync with international standards.

The province also vowed to strengthen key technological breakthroughs in large-scale language models, ramp up efforts to accelerate the development of the "Digital Bay Area" and explore mechanisms for cross-border data circulation.

Global Times