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China trails US in every area of AI development except big data, Oxford University report finds

With 1.4 billion people, more than a billion smartphones in use and 750 million internet users, harnessing data is no problem for China. But will that be enough?

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Beijing’s goals include building a domestic AI industry worth about US$150 billion by 2030. Photo: Shutterstock

China may struggle to realise its ambitions of leading the world in artificial intelligence (AI), according to an Oxford University study that shows it is still a long way behind the United States.

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China is given a score of 17 for its overall capacity for developing technologies in the field, compared with 33 for the US, its main competitor in the global AI race, in the report published by Oxford’s Future of Humanity Institute this month.

China has the most internet users. And the Chinese government’s determination to push the application of AI forward is unmatched in other country
Liu Qingfeng, chairman, iFlyTek

It found that except for “access to data”, China trails the US in every driver of AI development, namely hardware, research and algorithm and the commercialisation of the industry. The biggest obstacle is likely to be production of hardware such as microprocessors and chips, the study found.

The findings may be a blow to China’s ambition to leverage the massive data gathered from its 700 million plus internet users – the highest number globally – to leapfrog other countries in the field of AI.

Betting big on the core technology behind an array of cutting-edge applications from autonomous driving to facial recognition, China’s State Council last July laid out a three-step road map to lead the world in AI. It included the goals of building a domestic AI industry worth about US$150 billion and to make the country an “innovation centre for AI” by 2030.

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The country has even appointed four of its biggest technology companies – Baidu, Alibaba Group Holding, Tencent Holdings, and iFlytek – as “national champions” to lead the development of AI innovation platforms in self-driving cars, smart cities, computer vision for medical diagnosis, and voice intelligence, respectively.

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