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Three breakthroughs in the artificial intelligence AI industry
Three breakthroughs in the artificial intelligence AI industry
The future will be carried out in a solid way and the integration of new technology will be enhanced.
In the past, the "intelligent +" society is approaching, and all circles of society are also actively drawing on the future social landscape. From the following aspects, technology and application scope of artificial intelligence giants abroad have been broken many times. They can be summed up as three points: strong discussion, strong cross-border innovation and continuous talent bonus.
Our country has outstanding strength in deep learning and identification technology, and it is in the forefront of the world in the application of artificial intelligence market. However, there are short boards in the foundation technology, the industrial chain cross boundary synergy and the central talent cultivation. Industry experts call the future of China's artificial intelligence industry and academia should focus on more than three weaknesses, situation, overall thinking, grasp planning, solid progress in fixing the existing advantages, make up the short board, to promote the sustainable development of artificial intelligence industry Chinese.
The bottom layer discusses the "hard index" of artificial intelligence
Artificial intelligence research can be divided into root layer, technology layer, application layer, the United States in the difficult technology, technology driven foundation layer effect strong, from time to time as well as the theoretical research and China pause; in the basic level to be weaker in the technology and application layer more force.
The underlying layer mainly refers to the central ability of artificial intelligence technology, such as disposer and chip. The technology level includes natural language processing, computer vision, technology platform and other general technology. Application layer refers to the practical application subjects such as automatic driving, intelligent robot and so on.
The rise of the wave of artificial intelligence has made big American companies marching into the bottom of the world. On chip as an example, the American chip manufacturer NVIDIA launched the world's first 120 trillion processor Volta V100 secondary to GPU, efficiency of machine learning to convey instructions from a few weeks to shorten the hours, assist customers time to market more rapid iteration and optimization of their products. In the past 3 years, NVIDIA is accelerating performance of deep learning provides 10 times, critics called "Moore square", adhere to the current rate, enhance the performance by 2025, GPU will complete the performance can be 1000 times faster than CPU.
Google, Amazon, Microsoft, apple and other companies that initially did not develop chips also began to force chips and processors, which made the US's position in the global artificial intelligence research further strengthened. The Microsoft Corp has unveiled its artificial intelligence chip manufacturing project, showing a new type of chip specially designed for Microsoft to strengthen the ideal glasses HoloLens. Google announced the development of its deep learning chip in 2016, and announced that with the burst of speech recognition technology, high-performance processor TPU has saved the cost of building 15 new data centers for the company. Google is also working with biological companies to develop chips that efficiently compute DNA information. In April 2017, the Apple Corp announced that Apple would go through its own research and development and consumption chips to further control the dominance of the industry chain. At the end of the news, the share price of Imagination, an apple chip supplier in Britain, fell sharply.
However, China is still lagging behind American companies in the field of research and development at the bottom of the chip, and the demand for imported chips is still high.
Engaged in computer vision recognition China company "open technology" brand and marketing center general manager Xie Yinan said, in the image recognition domain, the company also used NVIDIA and Intel chips, there is no domestic chip can be completely replaced by. Song Jiqiang, President of Intel Research Institute of China, also admitted that the lack of AI in China is not enough. The needs of Chinese scholars have been broken in theory. The robot technology founder Yu Kai said, in the PC computer and the mobile Internet era, we have missed the technical foundation platform such as operating system, artificial intelligence needs to hang back period.
China released "China Robot Institute of electronics industry development report" pointed out that the robot center of China's lack of technology accumulation, capital investment is relatively limited and scattered, the high-end market has long been foreign occupation, largely relying on imported parts and body assembly, integration oriented business, although there are some break but is fundamentally passive, follow the development, difficult to achieve industrial development initiative.
Yao Qizhi, a computer scientist and the only Chinese winner of Turing Award, said that China wants to complete the strategic purpose of the world's major AI innovation centers in 2030. First of all, we should deal with the shortage of AI theory. In the development of the next wave of artificial intelligence, China should obtain some original and academic property, rather than pursue science and technology created by others.
Cross boundary integration innovation as a "compulsory course" for intelligent ecology
In the future, the category of artificial intelligence is not only a single technology and a product, but an integrated "ecosystem". Digital technology separates the industrial categories such as neural seminars and automation machinery and other industrial categories to form the underlying technology of artificial intelligence.
On the one hand, the robot based on artificial intelligence will be integrated into the society in the way of "software", such as automatic translation, image identification, etc. On the other hand, the integrated "hardware" will also be deepened to the people's lives, such as special robots, medical robots, etc.
It is in this "consensus" under the guidance of "idle" became the American artificial intelligence giants are doing, from IBM, apple, Google, Facebook, Ying Weida, artificial intelligence giants all in Unicom try software and hardware and application scenarios, is no longer a single focus on their own traditions business, but rather focus on the future planning. Twenty
In the past, the "intelligent +" society is approaching, and all circles of society are also actively drawing on the future social landscape. From the following aspects, technology and application scope of artificial intelligence giants abroad have been broken many times. They can be summed up as three points: strong discussion, strong cross-border innovation and continuous talent bonus.
Our country has outstanding strength in deep learning and identification technology, and it is in the forefront of the world in the application of artificial intelligence market. However, there are short boards in the foundation technology, the industrial chain cross boundary synergy and the central talent cultivation. Industry experts call the future of China's artificial intelligence industry and academia should focus on more than three weaknesses, situation, overall thinking, grasp planning, solid progress in fixing the existing advantages, make up the short board, to promote the sustainable development of artificial intelligence industry Chinese.
The bottom layer discusses the "hard index" of artificial intelligence
Artificial intelligence research can be divided into root layer, technology layer, application layer, the United States in the difficult technology, technology driven foundation layer effect strong, from time to time as well as the theoretical research and China pause; in the basic level to be weaker in the technology and application layer more force.
The underlying layer mainly refers to the central ability of artificial intelligence technology, such as disposer and chip. The technology level includes natural language processing, computer vision, technology platform and other general technology. Application layer refers to the practical application subjects such as automatic driving, intelligent robot and so on.
The rise of the wave of artificial intelligence has made big American companies marching into the bottom of the world. On chip as an example, the American chip manufacturer NVIDIA launched the world's first 120 trillion processor Volta V100 secondary to GPU, efficiency of machine learning to convey instructions from a few weeks to shorten the hours, assist customers time to market more rapid iteration and optimization of their products. In the past 3 years, NVIDIA is accelerating performance of deep learning provides 10 times, critics called "Moore square", adhere to the current rate, enhance the performance by 2025, GPU will complete the performance can be 1000 times faster than CPU.
Google, Amazon, Microsoft, apple and other companies that initially did not develop chips also began to force chips and processors, which made the US's position in the global artificial intelligence research further strengthened. The Microsoft Corp has unveiled its artificial intelligence chip manufacturing project, showing a new type of chip specially designed for Microsoft to strengthen the ideal glasses HoloLens. Google announced the development of its deep learning chip in 2016, and announced that with the burst of speech recognition technology, high-performance processor TPU has saved the cost of building 15 new data centers for the company. Google is also working with biological companies to develop chips that efficiently compute DNA information. In April 2017, the Apple Corp announced that Apple would go through its own research and development and consumption chips to further control the dominance of the industry chain. At the end of the news, the share price of Imagination, an apple chip supplier in Britain, fell sharply.
However, China is still lagging behind American companies in the field of research and development at the bottom of the chip, and the demand for imported chips is still high.
Engaged in computer vision recognition China company "open technology" brand and marketing center general manager Xie Yinan said, in the image recognition domain, the company also used NVIDIA and Intel chips, there is no domestic chip can be completely replaced by. Song Jiqiang, President of Intel Research Institute of China, also admitted that the lack of AI in China is not enough. The needs of Chinese scholars have been broken in theory. The robot technology founder Yu Kai said, in the PC computer and the mobile Internet era, we have missed the technical foundation platform such as operating system, artificial intelligence needs to hang back period.
China released "China Robot Institute of electronics industry development report" pointed out that the robot center of China's lack of technology accumulation, capital investment is relatively limited and scattered, the high-end market has long been foreign occupation, largely relying on imported parts and body assembly, integration oriented business, although there are some break but is fundamentally passive, follow the development, difficult to achieve industrial development initiative.
Yao Qizhi, a computer scientist and the only Chinese winner of Turing Award, said that China wants to complete the strategic purpose of the world's major AI innovation centers in 2030. First of all, we should deal with the shortage of AI theory. In the development of the next wave of artificial intelligence, China should obtain some original and academic property, rather than pursue science and technology created by others.
Cross boundary integration innovation as a "compulsory course" for intelligent ecology
In the future, the category of artificial intelligence is not only a single technology and a product, but an integrated "ecosystem". Digital technology separates the industrial categories such as neural seminars and automation machinery and other industrial categories to form the underlying technology of artificial intelligence.
On the one hand, the robot based on artificial intelligence will be integrated into the society in the way of "software", such as automatic translation, image identification, etc. On the other hand, the integrated "hardware" will also be deepened to the people's lives, such as special robots, medical robots, etc.
It is in this "consensus" under the guidance of "idle" became the American artificial intelligence giants are doing, from IBM, apple, Google, Facebook, Ying Weida, artificial intelligence giants all in Unicom try software and hardware and application scenarios, is no longer a single focus on their own traditions business, but rather focus on the future planning. Twenty