The issues related to artificial intelligence (AI) run through the four-day agenda of the World Economic Forum (WEF 2018), and mainland technology companies have also received widespread attention. In WEF 2018, machine learning, big data, autopilot, and robots are set as multiple sub-forum topics. Klaus Schwab, the founder and chairman of WEF, said in an interview that the outside world is very concerned about the mainland's leading global development in many aspects, including the Internet of Things and other technological fields.
This year, Alibaba, Baidu and JD.com participated in several WEF 2018 official forums to discuss the promotion of technology to business. In addition, in the list of banquets held in Alibaba and Jingdong, there are also many invited Microsoft (Microsoft) founder Bill Gates and other global Top technology giants participated.
Alibaba Cloud President Hu Xiaoming said that the mainland is a testing ground for global digital transformation. It not only provides goods to the outside world, but also provides digital transformation capabilities, methods and experience, including providing mainland experience to some developed countries.
Jingdong Financial CEO Chen Shengqiang pointed out that the core of the fourth scientific and technological revolution that is coming is to liberate people's brain power and promote humanity into the intelligent age. The mainland has achieved the development of advanced countries along with data, computing power, algorithms and many other aspects.
Eric Schmidt, chairman of Google's parent company, Alphabet, pointed out that Google has long recognized the importance of AI research. In 2000, advertising algorithms began to use AI. From acquiring Geoff Hinton to acquiring DeepMind, deep learning quickly penetrated the entire company.
DeepMind co-founder Mustafa Suleyman said that Alpha zero is not so god-like, and the outside world is a bit exaggerated. To work, it must meet three premises: a predictable environment (Go rules), a clear reward system (win or lose), and a variability. He predicted that in 3 to 5 years, intensive learning is completely unusable, and the Deepmind team has been watching for decades.
Li Feifei, chief scientist of Google Cloud AI/ML field, believes that AI has only been developed for about 60 years, and it is still a new field. AI ideal is to make machines smart, imitate human intelligence to solve problems and make human life better. At present, AI still cannot understand context and complex knowledge. There is still a long way to go to recognize human emotions, feelings and motives.
Li Kaifu, the founder of the innovation factory, analyzed that the United States, the United Kingdom, and Canada are pioneers in the AI ​​field. This field has been very deserted for a long time, and it has been persisted, so that today there is a chance for a hundred flowers to bloom.
However, Kai-fu Lee believes that although the top AI experts are mainly based in the United States, the speed of the mainland far exceeds the sum of Europe and the United States due to the rise of a large number of young engineers. The leading opportunities of the mainland AI are mainly from the "four rockets" boost: First, first-class science and engineering education; Second, active entrepreneurial atmosphere and large capital investment; Third, huge amount of information; Fourth, policy promotion.
The science and engineering education in the mainland has trained many scientists, and these people are interested in AI-related work. In addition, mainland AI companies distribute consumer services in various fields; the number of shared bicycles in the mainland is 300 times that of the United States, and the take-away is 10 times that of the United States. Mobile payment users are 50 times larger than the United States, and a large number of companies and materials are formed on this basis.
Research firm McKinsey analyzed that by AI-based technology development by 2030, a large number of people could not find a suitable job, between 400 million and 800 million people. After many tasks are replaced by machines, the time and treatment of work will drop significantly.
Many people want to change jobs, but they don't have enough talent. Because AI capabilities will be higher and higher, and even many people are upgraded hopeless. The biggest worry about the future work is that the gap between the rich and the poor will reach a record high, and the social instability brought about by this is very serious.
However, it is not the blue-collar workers that are most affected. For example, a $20,000 cleaner, robots may not be so easy to replace; but a $80,000 dental assistant is likely to be completely replaced by AI, and eventually the work will disappear completely and eventually become a cleaner or waiter. .
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