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The executive chairman of Google alphabet said:"By 2030, China will dominate the global AI industry", Russia's ** Putin also said recently:"The country that dominates AI will dominate the world.
It is indisputable that artificial intelligence will explode in the next few years, and it will affect the whole world, and it may be the arrival of the 4th technological revolution!
With the continuous maturity of technology and technological development, there is another key factor in the advancement, that is, the arrival of the 5G era. Nowadays, there are still many people who can't understand why we need 5G when our network is already very fast. Nowadays, in the era of the Internet of Things, people through the network, to achieve the link between mobile phones and devices, through mobile phones, read the basic data of the device, which is like once we were in the 2G era, mobile phones can only browse text, 3G era, we can browse more portals with images through mobile phones**, the arrival of 4G, gave birth to short**, YouTube, live broadcast and other ** network companies are the same reason.
5G will be nearly 100 times faster than 4G, which will make image recognition, gesture recognition, face recognition, voice recognition, and upload processing faster, and realize the interconnection and interaction between devices. Provide a core foundation for the implementation of artificial intelligence.
This will be a great technological revolution driven by 5G technology, which will change the future of mankind dramatically.
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AI (Artificial Intelligence) is so important, I think every citizen should have an equal opportunity to understand it, to know it, even if we can't master it. Although artificial intelligence is not a new term and has been circulating for many years, I can see from some comments and private messages from close friends, as well as articles on the Internet, that people still understand it very abstractly. Therefore, I want to combine my own understanding here, what is shallow artificial intelligence?
How will it change people's lives?
In the words of Robin Li:"Our idea is that humans can interact with all devices with human language, and the difference between humans and animals is that humans know how to use tools, and for the last 100,000 years, whatever tool you invent has used to learn how to use it. In the future, you won't have to do that anymore, because the tool will learn how to understand human language, human intent.
This is the future"。
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Professor Zheng Nanning, director of the Center for Artificial Intelligence and Robotics at Xi'an Jiaotong University, said that China is home to the world's leading computer vision, speech recognition and natural language processing companies, such as SenseTime, Yunzhisheng, iFLYTEK and Megvii. But China still lags behind in terms of the core technology tools of AI. For example, tensorflow and caffe, an open-source platform developed by American academics and companies – a set of algorithms dedicated to designing, building, and training computers to make them more like the human brain, are widely used in industry and academia around the world.
Of course, in other aspects, such as rapid development of AI product tools, the world's leading platform is developed by PaddlePaddle.
Professor Zheng also said that China is also lagging behind in terms of AI hardware. Most of the world's leading AI-enabled semiconductor chips are manufactured by American companies such as NVIDIA, Intel, Apple, Google, and Advanced Micro Devices. "We also lack expertise in designing compute chips that can support advanced AI systems," he said.
Prof. Zheng** It may take 5 to 10 years for China to reach the level of innovation in basic theories and algorithms in the United States and the United Kingdom.
Kristin Shi-Kupfer, a scientist from a Berlin think tank, believes that basic theory and technology are key to Chinese's artificial intelligence strategy. Without breakthrough research in machine learning, she said, China could face a ceiling in the field of artificial intelligence.
How to retain talent is another key factor in China's AI. According to the 2018 Chinese AI Development Report, co-authored by Chinese academia and industry, by the end of 2017, China had 18,200 AI-related scientists and engineers, ranking second in the world and second only to the United States with 29,000. But in terms of the quality of talent - according to their h-index, China ranks only 6th in the world.
In fact, many of the world's computer scientists are usually educated in the United States, and after graduation, they stay in the United States and join some of the world's top technology companies.
However, there are signs that things are changing. China is trying to lure some researchers back to the mainland with high salaries. For example, at Professor Cheng's AI Center, some professors are paid 2-3 times more than other professors at the university.
Professor Zheng also said that their center also provides staff with a more comprehensive evaluation system than many Chinese universities, which tend to reward high publication rates. A new recruitment system has also been implemented, which bypasses the university recruitment process and allows scientists to quickly build teams.
Given the growing expertise of China's three tech giants, Tencent and Alibaba, China's goal of having the world's leading AI companies by 2020 is also achievable. Although there is still a gap with Google, Microsoft and other American companies, these companies can already be regarded as the world's leading AI companies.
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The 2019 World Artificial Intelligence Conference held in Shanghai has put Shanghai at the forefront of global artificial intelligence innovation and industrial application.
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Not necessarily, because technology in other countries is also evolving.
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It should be more difficult, because both Chinese AI technology and foreign AI technology are developing rapidly.
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Impossible, AI technology is shared globally, not unique to China, and China has never dominated the world.
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Even if China can lead in one field, but in the long run, there is no basic field of education, research, and others will take the lead in the next stage, don't forget that China's advantage is only because of backwardness. The whole school and society do not have the atmosphere of accepting failure, and innovation and talent are not yet advantageous!
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The United States is more systematic in artificial intelligence, China has an advantage in big data, face recognition, and I think it is a bit difficult for China to dominate the world.
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No, I think the United Kingdom and the United States disagree in the first place, after all, people are more technologically mature.
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China's AI will not dominate the world in the future, but it will still be able to occupy a place.
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This is not necessarily because AI technology is constantly developing in various countries.
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It cannot be said at the moment, but it can only be said that there is an opportunity, but it cannot be described as self-dominating the world.
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China started very late, and it will be up to us to see if we can fight for the day.
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Not necessarily, because various countries are researching and technology is constantly evolving.
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Whether AI will rule over humanity depends first on whether AI can generate self-awareness.
However, how self-consciousness came about is still an unknown proposition of science.
Self-awareness is the awareness of one's own physical and mental activities, that is, one's own understanding of oneself, including the understanding of one's own physiological condition (such as height, weight, posture, etc.), psychological characteristics (such as interests, abilities, temperament, personality, etc.) and one's relationship with others (such as one's relationship with the people around oneself, one's position and role in the collective, etc.). Self-consciousness is characterized by consciousness, sociality, agency, and identity. The structure of self-consciousness is analyzed from the three levels of self-consciousness, namely, knowledge, emotion and intention, and is composed of three subsystems: self-cognition, self-experience and self-regulation (or self-control).
The principles of self-awareness formation include: correct self-perception, objective self-evaluation, positive self-improvement, and attention to self-growth. The formation of self-consciousness has its own characteristics at different stages of life.
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Artificial intelligence will only create greater wealth and provide greater efficiency for society。But now that we have more wealth and greater efficiency, we have a different way of dealing with the old problems. AI will influence and shape the core variables of this country, and this country will be turned upside down because of AI.
Under such circumstances, we need to turn it into a driving force for the development of the entire international community and social structure, and the development of a country's technology depends on its own basic capabilities. The basic capabilities are education, talents, and the provision of algorithms, computing power, and infrastructure for industry maturity, which in turn includes super-large computers, mature systems and connections, etc., which are supported by this series. I believe that when this era comes, humanity will become more prosperous.
But it also puts forward a new proposition for an old problem, for a country and society。Because we have lived through the era of the Industrial Revolution, and the requirement of the Industrial Revolution era for every old problem is to be able to adapt to this social structure as long as you enter the intermediate level. In the era of artificial intelligence, it may be necessary to improve the level of artificial education, and every country must work this point, and it does not necessarily have to be a big country to succeed.
I think that many small and medium-sized countries can also become a country with a large production capacity due to the realization of artificial intelligence. WhileAnd as long as there is a greater ability to create wealth, it will bring opportunities to more people.
I think AI will dominate the world, and AI will ultimately decide who will dominate. We're not getting to AI as a general-purpose technology right now. What we really want to achieve now, first and foremost, is that we need to build a sustainable society, and if we want to achieve this, we should not think that we can achieve such a society by making small repairs.
What we really need is radical change, radical change, and that includes our biotechnology, nanotechnology, AI, robotics, and IoT technology, which is the Internet of Things. Because only when these technologies are applied can a new future be created. For example, if you want to repurpose these materials, you need to use multiple technologies to do this, which is a big challenge.
I think AI will dominate the world, and AI will ultimately decide who will dominate. We're not getting to AI as a general-purpose technology right now. What we really want to achieve now, first and foremost, is that we need to build a sustainable society, and if we want to achieve this, we should not think that we can achieve such a society by making small repairs.
What we really need is radical change, radical change, and that includes our biotechnology, nanotechnology, AI, robotics, and IoT technology, which is the Internet of Things. Because only when these technologies are applied can a new future be created. For example, if you want to repurpose these materials, you need to use multiple technologies to do this, which is a big challenge. ”
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I think this possibility is still very small, after all, AI is not as intelligent as humans.
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I don't think so, the world is definitely dominated by humans, and I can only say that AI may slowly spread into human life.
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I don't think so, because AI is also a program created by humans, and it is also written by humans.
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This should be possible, after all, the development is very fast.
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Not necessarily. AI is still developing, and it's hard to say what the future holds.
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Probably not, after all, it will still be a human-dominated society in the future, so it will not be AI
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I feel that it is difficult to say anything else in the future, at least AI will cover every item that is popularized into people's lives.
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It's impossible to say for sure whether it will or won't, because after all, technology is developing rapidly, and anything is possible.
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It's really hard to say, but now that technology is developing so fast, maybe one day it will.
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I don't think it's possible for AI to replace humans.
All human activities can be summed up as encountering problems - solving them. Problem solving is time-sensitive, that is, finding out the solution within a certain period of timeIdeasAnd in the endKnownand other means. The idea comes in two ways:
Through past success stories, i.e., retrieving known answers; The answer is derived by computational deduction based on the principle. Either way, when there are too many known cases or too many calculations, no matter how fast the computer is computational, it is likely to time out, that is, the problem will fail. In the process of implementation through known means, if faced with unknown means, it will also be transformed into a problem of thinking.
In addition, there are cost constraints to solve problems. If the cost of solving the problem is greater than the cost of energy, then even the problem solving is useless. This is determined by the laws of thermodynamics, unless you can build a perpetual motion machine first.
Therefore, all living beings in nature solve problems through finite queries and finite calculations, and do not pursue perfect solutions, but find relatively perfect solutions at the current stage through a lot of trial and error. Of course, for individuals who fail through trial and error, the outcome is likely to be death, but it is beneficial for the group.
I think that the further development of AI is likely to lead to two directions in the end: one is to focus on a certain type of auxiliary work, such as the current various specialized robots; The other is comprehensive AI, which will be infinitely closer to the human way of thinking. But if an AI is no different from a human being's way of thinking, can it still be called AI?
1) International Monetary Organization; (2) the World Bank; (3) the General Agreement on Tariffs and Trade (GATT); (4) The G-7 Summit.
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