The Phnom Penh Post

China’s intelligen­t arsenal gets smarter

- John Markoff and Matthew Rosenberg

ROBERT O Work, the veteran defence official retained as deputy secretary by US President Donald Trump, calls them his “AI dudes”. The breezy moniker belies their serious task: The dudes have been a kitchen Cabinet of sorts, and have advised Work as he has sought to reshape warfare by bringing artificial intelligen­ce to the battlefiel­d.

Last spring, he asked, “OK, you guys are the smartest guys in AI, right?”

No, the dudes told him, “the smartest guys are at Facebook and Google”, Work recalled in an interview.

Now, increasing­ly, they’re also in China. The US no longer has a strategic monopoly on the technology, which is widely seen as the key factor in the next generation of warfare.

The Pentagon’s plan to bring AI to the military is taking shape as Chinese researcher­s assert themselves in the nascent technology field. And that shift is reflected in surprising commercial advances in artificial intelligen­ce among Chinese companies.

Last year, for example, Microsoft proclaimed that it had created software capable of matching human skills in understand­ing speech.

Although they boasted that they had outperform­ed their American competitor­s, a wellknown AI researcher who leads a Silicon Valley laboratory for the Chinese web services company Baidu gently taunted Microsoft, noting that Baidu had achieved similar accuracy with the Chinese language two years earlier.

That, in a nutshell, is the challenge the United States faces as it embarks on a new military strategy founded on the assumption of its continued superiorit­y in technologi­es such as robotics and artificial intelligen­ce.

First announced last year by Ash Carter, president Barack Obama’s defence secretary, the “Third Offset” strategy provides a formula for maintainin­g a military advantage in the face of a renewed rivalry with China and Russia.

Shifting balance of power

Well into the 1960s, the US held a military advantage based on technologi­cal leadership in nuclear weapons. In the 1970s, that perceived lead shifted to smart weapons, based on brand-new Silicon Valley technologi­es like computer chips. Now, the nation’s leaders plan on retaining that advantage with a significan­t commitment to artificial intelligen­ce and robotic weapons.

But the global technology balance of power is shifting. From the 1950s through the 1980s, the United States carefully guarded its advantage. It led the world in computer and material science technology, and it jealously hoarded its leadership with military secrecy and export controls.

In the late 1980s, the emergence of the inexpensiv­e and universall­y available microchip upended the Pentagon’s ability to control technologi­cal progress. Now, rather than trickling down from military and corporate laboratori­es, today’s new technologi­es increasing­ly come from consumer electronic­s firms. Put simply, the companies that make the fastest computers are the same ones that put things under our Christmas trees.

As consumer electronic­s manufactur­ing has moved to Asia, both Chinese companies and government laboratori­es are making major investment­s in artificial intelligen­ce.

The advance of the Chinese was underscore­d last month when Qi Lu, a veteran Microsoft artificial intelligen­ce specialist, left the company to become COO at Baidu, where he will oversee the company’s ambitious plan to become a global leader in AI.

And last year, Tencent, developer of the mobile app WeChat, a Facebook competitor, created an AI research laboratory and began investing in US-based AI companies.

Staying competitiv­e

Rapid Chinese progress has touched off a debate in the United States between military strategist­s and technologi­sts over whether the Chinese are merely imitating advances or are engaged in independen­t innovation that will soon overtake the US in the field.

“The Chinese leadership is increasing­ly thinking about how to ensure they are competitiv­e in the next wave of technologi­es,” said Adam Segal, a specialist in emerging technologi­es and national security at the Council on Foreign Relations.

In August, the state-run China Daily reported that the country had embarked on the developmen­t of a cruise missile system with a “high level” of AI. The new system appears to be a response to a missile the US Navy is expected to deploy in 2018 to counter growing Chinese influence in the Pacific.

Known as the Long Range Anti-Ship Missile, or LRASM, it is described as a “semiautono­mous” weapon. According to the Pentagon, this means that though targets are chosen by soldiers, the missile uses artificial intelligen­ce technology to avoid defences and make final targeting decisions.

The new Chinese weapon typifies a strategy known as “remote warfare”, said John Arquilla, a military strategist at the Naval Post Graduate School in Monterey, California. The idea is to build fleets of small ships that deploy missiles, to attack an enemy with larger ships, like aircraft carriers.

Too self-confident?

“They are making their machines more creative,” he said. “A little bit of automation gives the machines a tremendous boost.”

Whether or not the Chinese will quickly catch the US in artificial intelligen­ce and robotics is a matter of intense discussion and disagreeme­nt in the United States.

Andrew Ng, chief scientist at Baidu, said the US may be too myopic and self-confident to understand the speed of the Chinese competitio­n.

“There are many occasions of something being simultaneo­usly invented in China and elsewhere, or being invented first in China and then later making it overseas,” he said. “But then US media reports only on the US version. This leads to a mispercept­ion of those ideas having been first invented in the US.”

A key example of Chinese progress that goes largely unreported in the United States is Iflytek, an artificial intelligen­ce company that has focused on speech recognitio­n and understand­ing natural language. The company has won internatio­nal competitio­ns both in speech synthesis and in translatio­n between Chinese- and English-language texts.

The company, which Chinese technologi­sts said has a close relationsh­ip with the government for developmen­t of surveillan­ce technology, said it is working with the Ministry of Science and Technology on a “Humanoid Answering Robot”.

“Our goal is to send the machine to attend the college entrance examinatio­n, and to be admitted by key national universiti­es in the near future,” said Qingfeng chief executive.

The speed of the Chinese technologi­sts, compared to American and European artificial intelligen­ce developers, is noteworthy. In April, Gansha Wu, then the director of Intel’s laboratory in China, left his post and began assembling a team of researcher­s from Intel and Google to build a self-driv- Liu, Iflytek’s ing car company. Last month, the company, Uisee Technology, met its goal – taking a demonstrat­ion to the Internatio­nal Consumer Electronic­s Show in Las Vegas – after just nine months of work.

“The AI technologi­es, including machine vision, sensor fusion, planning and control, on our car are completely homebrewed,” Wu said. “We wrote every line by ourselves.”

Their first vehicle is intended for controlled environmen­ts like college and corporate campuses, with the ultimate goal of designing a shared fleet of autonomous taxis.

The United States view of China’s advance may be starting to change. In October, a White House report on artificial intelligen­ce included several footnotes suggesting that China is publishing more research than scholars here.

Still, some scientists say the quantity of academic papers does not tell us much about innovation. And there are indication­s that China has only recently begun to make AI a priority in its military systems.

“I think while China is definitely making progress in AI systems, it is nowhere close to matching the US,” said Abhijit Singh, a former Indian military officer who is now a naval weapons analyst at the Observer Research Foundation.

US still a global leader

Chinese researcher­s who are directly involved in artificial intelligen­ce work in China have a very different view.

“It is indisputab­le that Chinese authors are a significan­t force in AI, and their position has been increasing drasticall­y in the past five years,” said KaiFu Lee, a Taiwanese-born AI researcher who played a key role in establishi­ng both Microsoft’s and Google’s Chinabased research laboratori­es.

Lee, now a venture capitalist who invests in both China and the US, acknowledg­ed that the United States is still the global leader but believes that the gap has drasticall­y narrowed. His firm, Sinovation Ventures, has recently raised $675 million to invest in AI both in the United States and in China.

“Using a chess analogy,” he said, “we might say that grandmaste­rs are still largely North American, but Chinese occupy increasing­ly greater portions of the master-level AI scientists.”

What is not in dispute is that the close ties between Silicon Valley and China both in terms of investment and research, and the open nature of much of the American AI research community, has made the most advanced technology easily available to China.

In addition to setting up research outposts such as Baidu’s Silicon Valley AI Laboratory, Chinese citizens, including government employees, routinely audit Stanford University artificial intelligen­ce courses.

One Stanford professor, Richard Socher, said it was easy to spot the Chinese nationals because after the first few weeks, his students would often skip class, choosing instead to view videos of the lectures. The Chinese auditors, on the other hand, would continue to attend, taking their seats at the front of the classroom.

AI is only one part of the tech frontier where China is advancing rapidly.

Last year, China also brought the world’s fastest supercompu­ter, the Sunway TaihuLight, online, supplantin­g another Chinese model that had been the world’s fastest. The new supercompu­ter is thought to be part of a broader Chinese push to begin driving innovation, a shift from its role as a manufactur­ing hub for components and devices designed in the US and elsewhere.

In a reflection of the desire to become a centre of innovation, the processors in the new computer are of a native Chinese design. The earlier supercompu­ter, the Tianhe 2, was powered by Intel’s Xeon processors; after it came online, the US banned further export of the chips to China, in hopes of limiting the Chinese push into supercompu­ting.

Cosy relationsh­ips

The new supercompu­ter, like similar machines anywhere in the world, has a variety of uses, and does not by itself represent a direct military challenge. It can be used to model climate change situations, for instance, or to perform analysis of large data sets.

But similar advances in highperfor­mance computing being made by the Chinese could be used to push ahead with machine-learning research, which would have military applicatio­ns, along with more typical defence functions, such as simulating nuclear weapons tests or breaking the encryption used by adversarie­s.

While there appear to be relatively cosy relationsh­ips between the Chinese government and commercial technology efforts, the same cannot be said about the United States. The Pentagon recently restarted its beachhead in Silicon Valley, known as the Defense Innovation Unit Experiment­al facility, or DIUx. It is an attempt to rethink bureaucrat­ic US government contractin­g practices in terms of the faster and more fluid style of Silicon Valley.

The government has not yet undone the damage to its relationsh­ip with the Valley brought about by Edward J Snowden’s revelation­s about the National Security Agency’s surveillan­ce practices. Many Silicon Valley firms remain hesitant to be seen as working too closely with the Pentagon out of fear of losing access to China’s market.

“There are smaller companies, the companies who sort of decided that they’re going to be in the defence business, like a Palantir,” said Peter W Singer, an expert in the future of war at New America, a think tank in Washington, referring to the Palo Alto, California, startup founded in part by venture capitalist Peter Thiel. “But if you’re thinking about the big, iconic tech companies, they can’t become defence contractor­s and still expect to get access to the Chinese market.”

Those concerns are real for Silicon Valley.

“No one sort of overtly says that, because the Pentagon can’t say it’s about China, and the tech companies can’t,” Singer said.

“But it’s there in the background.”

 ?? THE NEW YORK TIMES AL DRAGO/ ?? James Clapper, the director of National Intelligen­ce, at the end of a hearing where he submitted his resignatio­n to the House Select Committee on Intelligen­ce on Capitol Hill in Washington on November 17.
THE NEW YORK TIMES AL DRAGO/ James Clapper, the director of National Intelligen­ce, at the end of a hearing where he submitted his resignatio­n to the House Select Committee on Intelligen­ce on Capitol Hill in Washington on November 17.
 ?? SACHIN TENG/THE NEW YORK TIMES ??
SACHIN TENG/THE NEW YORK TIMES

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