Sci-Tech

The development of artificial intelligence should highlight application orientation

2025-05-09   

General Secretary Xi Jinping recently emphasized during the 20th collective study session of the Political Bureau of the Communist Party of China Central Committee that in the face of the rapidly evolving new situation of the new generation of artificial intelligence technology, we must fully leverage 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 artificial intelligence in China towards beneficial, safe, and fair directions. Emphasizing the application orientation is of great significance to the current booming AI industry. It can not only prevent the technology from being disconnected from the actual demand, but also avoid blindly following the trend, resulting in the brutal growth of the industry and even bringing about industrial foam. Application oriented is the key to transforming technology into productivity. Industrial development is application-oriented, with the core of bridging the gap between technological innovation and market demand. By solving practical problems, it drives technological iteration and product upgrades, transforming R&D investment into tangible commercial value. This model not only accelerates the efficiency of technology transfer from the laboratory to the market, but also activates collaborative innovation in the upstream and downstream of the industrial chain, forming a virtuous cycle of demand driven supply and supply creating demand, avoiding the dilemma of "technology for technology's sake". The model of demand driven innovation and scenario driven technology feedback has continuously injected new momentum into many industries, including artificial intelligence. Highlighting application orientation is also an important path to promote industrial upgrading. Application orientation promotes the precise docking of artificial intelligence technology with specific needs of various industries, and deep integration with industries, breaking through bottlenecks in industrial development, improving production efficiency and quality, and giving birth to new models and formats such as intelligent manufacturing and smart healthcare. Artificial intelligence has typical universal technical characteristics, and various industries can achieve upgrading and transformation through the application of artificial intelligence. 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 be "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, which helps to invest resources such as funds, talents, and technology into the most valuable areas. Venture capital tends to support technologies with clear commercialization paths, highlighting application oriented development of artificial intelligence. It can concentrate efforts on tackling core technological challenges that constrain the development of the artificial intelligence industry, such as high-end chips and basic software, 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 industries with uncertain application prospects, reduce the risk of resource mismatch, and reduce industrial foam caused by blind investment and excessive competition. Highlighting application orientation is a unique and important advantage for the development of China's artificial intelligence industry. China has a huge and diverse market, covering many fields such as manufacturing, transportation, healthcare, finance, etc. The rich application scenarios provide a natural "testing ground" for artificial intelligence technology. At present, big models have been applied in industries such as electronics, raw materials, and consumer goods, and have been deeply researched and developed in design, pilot testing, production and manufacturing, and operation management. They drive continuous algorithm optimization from data accumulation, problem feedback, scenario expansion, and other aspects, promoting technological innovation and upgrading. Practice has proven that artificial intelligence is precisely rooted in applications that have led to its current flourishing development. The exploration of artificial intelligence began in the 1950s, but early technologies often focused on abstract problems in the virtual world, which were disconnected from real-life production and life scenarios, and failed to cause widespread social response and industrial transformation. Nowadays, from writing poetry and painting to rooting in vertical fields such as financial risk control, medical diagnosis, and industrial quality inspection, big models have made the industry realize clearly that only artificial intelligence technology and products tailored to specific business scenarios can meet market demand, empower various industries, and unleash greater value. The essence of competition in the artificial intelligence industry is the competition of technology and application capabilities. Whether it is breaking through the bottlenecks of industrial transformation or responding to the key concerns of people's livelihood, emphasizing application orientation will become the "compass" for artificial intelligence technology to penetrate the fog and move forward steadily. Only by deepening application scenarios and unleashing technological potential can AI become a powerful engine driving Chinese path to modernization. (New Society)

Edit:He Chuanning Responsible editor:Su Suiyue

Source:Xinhua

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