General Secretary Xi Jinping recently emphasized at the 20th collective study of the Political Bureau of the CPC Central Committee that in the face of the new situation of rapid evolution of the new generation of artificial intelligence technology, we must give full play to the advantages of the new national system, adhere to self-reliance and self-improvement, highlight application orientation, and promote the healthy and orderly development of my country's artificial intelligence in a beneficial, safe and fair direction. Emphasizing the emphasis on application orientation is of great significance to the booming artificial intelligence industry. It can not only prevent the technology from being disconnected from actual demand, but also avoid blindly following the trend, causing wild growth of the industry and even bringing industrial bubbles.

  Application-oriented is the key to transforming technology into productivity. Industrial development is application-oriented, and the core is to bridge the gap between technological innovation and market demand, and force technological iteration and product upgrades to transform R&D investment into practical business value. This model not only accelerates the efficiency of transformation of technological achievements from laboratories to markets, but also activates collaborative innovations upstream and downstream of the industrial chain, forming a virtuous cycle in which demand drives supply and supply creates demand, and avoids falling into the dilemma of "technology for technology". The model of demand-driven innovation and scenario-based feeding back technology has continued to inject new momentum into many industries, including artificial intelligence.

  Highlighting application orientation is also an important path to promote industrial upgrading. Application orientation promotes artificial intelligence technology to accurately connect with the specific needs of various industries and deeply integrate with the industry, breaking the bottleneck of industrial development, improving production efficiency and quality, and giving birth to new models and new business formats such as intelligent manufacturing and smart medical care. Artificial intelligence has typical general technical characteristics, and all industries can upgrade and transform with the help of artificial intelligence applications. For example, in the manufacturing industry, intelligent production lines optimize production processes through artificial intelligence algorithms to improve efficiency and accuracy; in the medical field, artificial intelligence-assisted diagnostic systems quickly analyze image data, helping medical diagnosis to "fast, accurate and stable".

  Highlighting application orientation also helps optimize resource allocation. Application orientation clarifies the specific problems and application scenarios that artificial intelligence technology needs to solve, and helps to invest resources such as funds, talents, and technology into the most valuable areas. Venture capital is more inclined to support technologies with clear commercialization paths and highlight application-oriented development of artificial intelligence. It can not only concentrate its efforts on solving core technical problems such as high-end chips and basic software that restrict the development of the artificial intelligence industry, accelerate key technological breakthroughs, and consolidate the foundation of industrial development; it can also guide resources to gather in areas with practical application needs, avoid excessive concentration of resources in some popular but uncertain industries, reduce the risk of resource mismatch, and reduce industrial bubbles caused by blind investment and excessive competition.

  Highlighting application orientation is an important advantage in my country's unique development of the artificial intelligence industry. my country has a huge and diversified market, covering many fields such as manufacturing, transportation, medical care, and finance. The rich application scenarios provide a natural "testing ground" for artificial intelligence technology. At present, large models have been implemented in industries such as electronics, raw materials, and consumer goods, and have been deeply involved in research and development and design, intermediate testing and certification, production and manufacturing, operation and management, and then drive algorithms to continuously optimize from data accumulation, problem feedback, scenario expansion, etc. to promote technological innovation and upgrading.

  Practice has proved that artificial intelligence is rooted in applications and has achieved its current booming development. The exploration of artificial intelligence began in the 1950s, but early technologies mostly focused on abstract problems in the virtual world, which failed to cause widespread social response and industrial changes because of their disconnection from the real production and life scenarios. Nowadays, the industry has clearly realized that only artificial intelligence technologies and products polished for specific business scenarios can meet market demand, empower thousands of industries, and give greater value.

  The essence of competition in the artificial intelligence industry is the competition of technology and application capabilities. Whether it is to solve the bottlenecks in industrial transformation or to respond to the focus of people's livelihood concerns, highlighting application orientation will become the "compass" for artificial intelligence technology to penetrate the fog and move forward steadily. Only by deepening application scenarios and releasing technological potential can artificial intelligence become a powerful engine driving Chinese-style modernization.

[Editor in charge: Ran Xiaoning]