US and China in the lead in the AI race, says the UN
IBM has the biggest AI patent portfolio at 8,920, with the single most popular AI application being computer vision used in self-driving cars
Geneva — China and the US are ahead of the global competition to dominate artificial intelligence (AI), according to a study by the UN World Intellectual Property Organisation (WIPO) published on Thursday.
The study found US tech giant IBM had by far the biggest AI patent portfolio, with 8,920, ahead of Microsoft with 5,930, and a group of mainly Japanese tech conglomerates.
China accounted for 17 of the top 20 academic institutions involved in patenting AI and is particularly strong in the fast growing area of “deep learning” — a machine-learning technique that includes speech recognition systems.
“The US and China obviously have stolen a lead. They’re out in front in this area, in terms of numbers of applications, and in scientific publications,” WIPO director-general Francis Gurry told a news conference.
US President Donald Trump has accused China of stealing American innovations and technology and has slapped trade tariffs on $234bn worth of Chinese goods to punish Beijing.
China said in December it resolutely opposed “slanderous” accusations from the US and other allies criticising China for economic espionage and stealing IP and company secrets.
Gurry acknowledged there were accusations about China’s behaviour but there was no doubt it has embraced the global IP system, with the world’s largest patent office and the largest number of domestic patent applications. “They are serious players in the field of IP,” he said.
The WIPO study analysed international patent filings, scientific publications, litigation filings and acquisition activity, and found there has been as many patent applications for AI since 2013 as in the half century since the term was coined in the 1950s.
Patent applications in machine learning, which include techniques used by ride-sharing services to minimise detours, averaged annual growth of 28% between 2013 and 2016, the last year for which data is available, because of an 18-month period before confidential applications are publicly disclosed.
Much of that growth came from deep learning, which overtook robotics as it ballooned from 118 patent applications in 2013 to 2,399 in 2016. The single most popular AI application is computer vision, used in self-driving cars, and mentioned in 49% of all AI-related patents.
The study shows how technology has followed science, Gurry said, with the 2013 boom in technological applications coming 10 years after a similar surge in scientific publications.
However, the world did not have any reliable way of measuring the quality of patent applications, with Gurry saying, “If you did, you wouldn’t need a venture capital industry.”
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