In its latest efforts to become a key player in China's rapidly evolving AI landscape, Sichuan province in southwest China has released an overall work plan for the growth of the AI industry chain from 2024 to 2027.

The plan sets specific targets including the creation of over 10 influential industry large models, the achievement of more than 100 original and disruptive core technologies, and the expansion of the AI technology enterprises to over 2,000. By 2027, the industry is projected to reach a scale of 200 billion RMB, with total computing power exceeding 40,000 petaFLOPS.

Emphasizing innovation and collaboration across multiple sectors, Chengdu and Mianyang have been identified as the two primary hubs for AI development, with Deyang and Suining among 11 other areas targeted for collaborative growth.

The plan features eight key areas of focus, including technological innovation in AI, enhancement of advanced computing power and data supply capabilities, cultivation of large model clusters, and the development of intelligent robots.

To drive technological innovation, the plan proposes significant implementation of AI technology projects, focusing on areas such as advanced computing power, brain-like intelligence, intelligent robotics and drone systems.

Aiming to nurture a cluster of large models, the plan will address key industries, including intelligent manufacturing, disaster prevention and reduction, and advanced nuclear energy, promoting the development of widely applicable industry-specific models.

As a complementary effort to the plan, the provincial science and technology department, in collaboration with related departments and cities, is also working on the "AI Industry Chain Map of Sichuan Province."

This comprehensive mapping initiative will focus on depicting the foundational, technological and application layers of the AI industry chain in Sichuan, highlighting the development advantages and industry characteristics of major cities like Chengdu and Mianyang.

In addition, it will detail the industries of computing power, industry-specific large models, robots and drones, analyzing upstream and downstream components, industry trends, key enterprises, strengths and weaknesses, and core technologies.