Science and Technology Daily, Beijing, November 27 (Reporter Liu Yuanyuan) — It was learned from the National Development and Reform Commission’s November press conference held on the 27th that currently, many regions across the country have initiated the construction of national artificial intelligence application pilot-scale testing bases. “Since the beginning of this year, the National Development and Reform Commission, in conjunction with relevant industry departments and local authorities, has promoted the launch and construction of pilot-scale testing bases in a number of key fields such as manufacturing, healthcare, and transportation, achieving good progress,” said Li Chao, Deputy Director of the National Development and Reform Commission’s Policy Research Office and spokesperson.
Pilot-scale testing connects upstream technological research and development with downstream industrial demonstration and mass production promotion, serving as a crucial link in technological innovation and the transformation of achievements. Li Chao mentioned that in the process of promoting AI to empower all industries, challenges still exist, such as industries struggling to find suitable technologies, technological achievements failing to find appropriate application scenarios, and high-quality applications being unable to take the first step toward implementation. To address these issues, the “AI+” initiative is deploying the construction of national AI application pilot-scale testing bases, aiming to establish a series of “connectors” for collaborative innovation in industrial chains, “accelerators” for the transformation of technological achievements, and “incubators” for the implementation of high-quality applications.
Using the application pilot-scale testing base for port and shipping as an example, Li Chao analyzed that the base has built the world’s largest training dataset covering the most comprehensive port business scenarios, providing strong support for technology research, development, and validation in areas such as port production operations and autonomous driving. It has gathered hundreds of AI technology providers and port sector user units, significantly lowering the threshold for AI application development in the port industry.
She also introduced the application pilot-scale testing base for the power sector as an example, stating that by providing real-world grid scenarios, the base supports development teams in testing algorithms, rapidly iterating, and exploring applications such as new energy power prediction, equipment fault analysis, and transmission line inspection. It has successfully developed the “Tianquan” high-efficiency computing solver, overcoming the world-class challenge of ultra-large-scale optimization computing in the energy sector, thereby precisely driving technological innovation based on business needs.
“We encourage all types of innovation entities to deeply participate in the construction and operation of application pilot-scale testing bases, actively conduct application pilot-scale testing and solution optimization, accelerate the transformation and implementation of application achievements, acting both as builders of the base’s capabilities and beneficiaries of its inclusive services,” Li Chao stated. With the deepening of the application pilot-scale testing base construction, the role of resource aggregation and collaborative empowerment will become more prominent, providing stronger capability support and more development opportunities for AI enterprises, university research institutions, and users across various industry sectors.
