In the Haidian district north of Beijing, two 20-year-old taxi drivers are firing new computers that may one day make smartphones, robots, and private cars really smart. Chen Yunji, a 34-year-old computer scientist and co-founder explains that traditional processors, designed decades before the recent Artificial Intelligence (AI) research tsunami, are “slow and inefficient” considering the data required for AI. “Even if you have an excellent algorithm or an application,” he says, its usefulness in everyday life is limited if you can use it on your phone, car, or machine. “Our goal is to change all lives.”
In 2012, the first Google Brain project required 16,000 microprocessor cores to run algorithms capable of learning cat identification. This work has been recommended as a breakthrough in in-depth learning that combines multiple sets of training data to find patterns without the guidance of a human editor. A year later, Yunji and her brother, Chen Tianshi, now CEO of Cambricon, came together to design a chip that could not withstand mobile devices – they could see faces, walk on the streets, translate languages, see useful information, or identify. “False news.”
AI chips
Technology companies and computer science departments around the world are now pursuing AI chips, which are the backbone of next-generation technology last Sunday SundarPhotosi, CEO of Google in Mountain View, California, told Verge that his main question today is: “How? Do we use AI to rethink our products? The Chen brothers by all accounts between the leaders; Their Cambricon-1A chip made a commercial crash for the first time this fall on Huawei’s smartphone charged as “the world’s first real AI phone”.
Such a development far away from Silicon Valley was hard to imagine a few years ago. “China lags behind the US in the development of modern hardware,” said Paul Triolo, a Eurasia Group analyst in Washington, D.C. “But it wants to win the AI ​​chip race.” The country is investing heavily in the entire AI sector, from chips to algorithms. The Chen brothers, for example, developed their chip while working at the Institute of Computing Technology of the Chinese Academy of Sciences here, and the school supported them with seed support when they flew Cambricon in 2016. (The company now costs $ 1 billion.)
Last summer, China’s Council of State released a policy plan for the country to become “the world’s leading AI of innovation” by 2030, at the same time, predicting that the country’s AI industry could cost $ 150 billion. “China is investing heavily in all aspects of information technology,” from quantum computing to chip design, says Raj Reddy, an AI pioneer who won the Turing Award-AI at Stanford University in Palo Alto, California, and Carnegie Mellon University Pittsburgh, Pennsylvania. “AI stands for all these things.”
In recent months, the central government and the Chinese industry have been launching a series of AI programs. In one of the recent developments, China will build a 2.1 billion AI technology park in the western part. Whether that expiration will cost the AI ​​industry may not be clear for years. US government spending on non-fiscal AI programs in 2016 was nearly $ 1.2 billion, according to In-Q-Tel, an American public research unit. Reddy is concerned that the United States is losing. “We were a great kahuna in supporting research and development.”
New AI field to China
China’s benefits to AI go beyond government commitment. Due to its size, online trading and social media, as well as minimal privacy protection, the world is full of data, which is central to deep learning programs. The fact that AI is a relatively new field also applies to China, said Chen Yunji, promoting a growing educational effort that has put China at a shocking level with the United States, a long-time leader in AI research. “In the realm of general science, [Chinese] scientists still have a long way to go to compete in the U.S. or Europe. But with computer science, it has just been compared. Young people can compete.
“China has not played a role in initiating AI transformation, but it is making significant progress,” he wrote. Global tensions over AI are declining. The computer science departments at this university are coming out as companies buy top talent. “Habits come and go, but this is the biggest thing I have ever seen a professor who can enter the industry and make $ 500,000 to $ 1 million a year in the United States or China,” says Michael Brown, a computer scientist at the University of York, Toronto, Canada.
Meanwhile, the industry continues to bet heavily on AI. Last October, for example, Alibaba announced plans to invest $ 15 billion in research in 3 years to build seven laboratories in four countries that will focus on quantum computing and AI Valley. Instead, a growing number of them stay at home to boost the global AI industry, says Xia Yan, a 30-year-old data scientist who founded Momenta, an independent driving initiative here. “Many of us choose to move from education to management,” Xia said. “We want to see our work in the real world. It’s a new era”.
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