Artificial intelligence drives intelligent computing power to take the next step

2023-09-26

The "2058 computer" appearing in "Wandering Earth 2" can meet the collaborative operation of tens of thousands of engines. The prototype of this computer is Zhongke Shuguang's "cylinder type" new immersion liquid cooled computer. Recently, at the 2023 World Computing Conference held in Changsha, Hunan Province, the top ten "black technologies" including submerged liquid cooled computers, including flying cars, electronic contact lenses, thermal stealth suits, 4D printing, and mind control, were officially announced. Artificial intelligence, as one of the main fields of "black technology", has continuously empowered thousands of industries in recent years. This also means that its requirements for the calculation power of the foundation base are further improved. Wu Lixin, an academician of the CAS Member, said at the 2023CCF National High Performance Computing Academic Annual Conference that the era of deep integration of supercomputing and artificial intelligence has come, which will become a new scientific paradigm or produce disruptive innovation. Visitors learn about and interact with RoboDogs at the 2023 World Computing Congress Special Exhibition (photographed on September 15, 2023). Photographed by Chen Zeguo/Outlook Weekly, how many calculations can be performed in one second to drive the development of computing power through artificial intelligence? In an era dominated by finger arithmetic, mental arithmetic, and mental arithmetic, the answer may be once; In the era when the world's first electronic computer was born, the answer was hundreds to thousands of times; Nowadays, performing billions of calculations within a second has become a reality. In the era of digital intelligence, computing power is a new type of productivity with vitality and innovation. Zhou Jinjun, a member of the Party Group and Deputy General Manager of China Electronics Information Industry Group Co., Ltd., stated that among the three elements of computing power, algorithms, and data, computing power is the root and core. For example, neural network algorithms were proposed in 1958, and in recent years, thanks to significant improvements in computing power, artificial intelligence has achieved breakthrough development. The core of the large parameter model represented by ChatGPT is intelligent computing power. The level of intelligent computing power directly determines the quality of algorithm model training, which in turn determines the 'intelligence' of artificial intelligence. Experts say that currently, human society is accelerating its evolution from the era of power to the era of computing power, especially as intelligent computing power has become the main battlefield of competition among countries. Currently, artificial intelligence is empowering various fields such as digital government, public safety, industrial manufacturing, and healthcare. Yao Qizhi, an academician of the CAS Member, said that in the short term, AI big language model will accelerate its entry into various vertical industries; In the medium to long term, the integration of artificial intelligence and the robotics industry is the main trend, and embodied universal artificial intelligence with body, cerebellum, and brain will become one of the core industries in the future. In the view of Liu Xinmin, Vice President of Xinhua Third Group and President of Technology Strategy Department, the development of artificial intelligence has put forward higher requirements for computing power. Specifically, AI applications represented by Content Generative Artificial Intelligence (AIGC), new applications such as large model training, and new demands require a high consumption of computing resources, requiring stable and reliable computing power systems. A reporter from Outlook News Weekly learned at this conference that the global computing power is expected to exceed 3ZFlops by 2025 (ZFlops refers to billions of floating-point operations per second), and 20ZFlops by 2030. In addition, training oversized models requires

Edit:Hu Sen Ming    Responsible editor:Li Xi

Source:XinhuaNet

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