Artificial intelligence leads the world, China faces three major obstacles
Release time:
2019-08-23 14:21
Source:
British media: artificial intelligence leads the world, China faces three major obstacles
British "Nature" magazine August 22 article, the original title: China will lead the world in the field of artificial intelligence by 2030? China hopes to lead the world in the field of artificial intelligence (AI), and the quality of AI research has made an impressive leap. But observers warn that several factors could hamper China's AI plans, including a lack of contributions to developing the theories that underpin the field and a reluctance by Chinese companies to invest in the research needed to make fundamental breakthroughs.
Academician Zheng Nanning, director of the Institute of artificial Intelligence and Robotics of Xi'an Jiaotong University, said that China already has a number of world-class enterprises in the fields of computer vision, speech recognition and natural language processing, but still lags behind in building core technology tools. For example, some deep learning platforms developed by American scholars and companies are used to design, build and train a series of algorithms that can make computers work more like human brains. These platforms have been widely used in industry and academia around the world. Although open-source platforms developed by Baidu and others are being used to rapidly develop AI products, China still lags behind in terms of hardware. Most of the world's top AI-enabled semiconductor chips are made by U.S. companies. China also lacks the expertise to design computer chips that can support advanced AI systems. Zheng predicts that it will take five to 10 years for China to reach the level of innovation in basic theories and algorithms.
Another factor that is also critical to China's progress in AI is the retention of talented researchers. As of 2017, China has the world's second-largest talent pool of AI scientists and engineers (about 18200), behind the United States (29000), but ranks only sixth in terms of top AI researchers.
In addition, if we want to have a global impact in the field of AI, it is important to have an appropriate management system, because this will enable Chinese researchers and enterprises to win the trust of indispensable global users and cooperate with researchers in other countries. If Chinese companies fail to demonstrate good governance prospects, they will not be allowed access to global data. (translated by Sarah Omira and Cui Xiaodong)
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