With an efficiency of 0.
The venue for the tournament is a modern-looking technology park in Haikou, capital of the island of Hainan. Outside, modern high-rises loom over aging neighborhoods.
Those gathered to play the machine include several poker champs, some well-known Chinese investors, entrepreneurs, and CEOs, and even the odd television celebrity. The games are being broadcast online, and millions are watching. The country is now embarking on an unprecedented effort to master artificial intelligence.
Its government is planning to pour hundreds of billions of yuan tens of billions of dollars into the technology in coming years, and companies are investing heavily in nurturing and developing AI talent.
In recent decades, a booming manufacturing sector—and market reforms encouraging foreign trade and investment—have helped bring hundreds of millions of people out of poverty, creating business empires and transforming Chinese society. Applying artificial intelligence may be the next step in this technology-fueled economic miracle.
While many in the West fret about AI eliminating jobs and worsening wealth and income inequality, China seems to believe it can bring about precisely the opposite outcomes.
There are good reasons to believe the country can make this vision real. This train network is now the most advanced in the world.
Money is also pouring into countless startups as Chinese entrepreneurs and investors spy a huge opportunity to harness AI in different industries.
|History[ edit ] The first bike sharing projects were initiated by local community organisations, or as charitable projects intended for the disadvantaged, or to promote bicycles as a non-polluting form of transport, or they were business enterprises to rent out bicycles. The first documented bike-share project began in Europe in   the group Provo painted fifty bicycles white and placed them unlocked in Amsterdam for everyone to use freely.|
China has some big advantages in AI. It has a wealth of talented engineers and scientists, for one. It also is rich in the data necessary to train AI systems. The results can be seen in the growth of facial-recognition systems based on machine learning: Mastering even a two-player form of poker is a significant achievement for AI because, unlike many other games, poker requires players to act with limited information, and to sow uncertainty by behaving unpredictably.
An optimal strategy therefore requires both careful and instinctive judgment, which are not easy qualities to give a machine.
Lengpudashi impressively solved the problem by using a brilliant new game-theory algorithm, which could be very useful in many other scenarios, including financial trading and business negotiations.
But Lengpudashi has received far less attention in its home country than it has in Hainan. Kai-Fu Lee, a well-known Chinese AI expert and investor and one of the organizers of the Hainan tournament, has come to recruit students for a new AI institute that his company, Sinovation Venturesis building in Beijing.
Lee gives a talk entirely in Mandarin to an auditorium packed with about Chinese students. He is dressed impeccably, in an expensive-looking suit and dress shirt, and he speaks in a confident, soothing tone. The talk touches on the interwoven trends that have driven the recent rise in machine intelligence: He argues that China is perfectly poised to take advantage of these advances.
Then, inhe became the founding president of Google China. Lee is now famous for mentoring young entrepreneurs, and he has more than 50 million followers on the Chinese microblogging platform Sina Weibo. In the audience are exactly the type of prized students who would normally flock to Silicon Valley.
The crowd hangs on his every word, and some people clamor for autographs afterward. The streets outside are filled with people on colorful ride-sharing bikes. I pass lots of fashionable-looking young techies as well as people delivering breakfast—ordered via smartphone, no doubt—to busy workers.
At the time of my visit, a major AI event is taking place a few hundred miles to the south in Wuzhen, a picturesque town of waterways. The location of the institute is well chosen. Sinovation provides machine-learning tools and data sets to train Chinese engineers, and it offers expertise for companies hoping to make use of AI.
The institute has about 30 full-time employees so far, but the plan is to employ more than by next year, and to train hundreds of AI experts each year through internships and boot camps.
Lee says many Chinese businesses, including the big state-owned enterprises, are technologically backward and ripe for overhaul, but they lack any AI expertise themselves. Needless to say, this presents an enormous opportunity.
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