In October 2016, a White House report pointed out that in terms of in-depth learning of artificial intelligence branches, China has published relevant journal articles that have surpassed the United States. PwC, a consultancy, predicts that by 2030, the development related to artificial intelligence will increase global GDP by $1.6 billion; it is estimated that nearly half of the financial resources will be accumulated in China. Although the U.S. is still the leader in absolute numbers, the number of AI related patent applications submitted by Chinese researchers has increased by nearly 200% in recent years.
As a global Internet giant Microsoft company, azure developed by Microsoft is a cloud platform specially built for artificial intelligence by Microsoft. Azure has gathered all the investment and technology accumulation of Microsoft in the field of artificial intelligence. It is a cloud platform for the development, deployment and operation of artificial intelligence, as well as a key link for integrating intelligent cloud and intelligent edge.
Microsoft has been expanding the functions of azure. At present, azure has four aspects: public cloud azure, hybrid cloud azure stack, Internet of things azure IOT edge and azure sphere, which create a complete computing environment and support new application scenarios.
Microsoft combines azure and AI to build the best AI cloud platform in four directions: cognitive service, dialogue AI, open platform and tools, real-time AI infrastructure.
As we all know, Google is actively transforming itself into an artificial intelligence company, and trying to become a leader in emerging fields such as cloud computing, intelligent health care, etc., to gain greater market share. At the same time, with the increasingly fierce competition between mobile and digital assistants and the growing concerns about privacy and data management, Google has constantly made adjustments and taken a multi pronged approach to defend its leadership, among which artificial intelligence is the main "lifeline" throughout.
Today, Google continues to make new breakthroughs in areas such as cloud computing, transportation, and healthcare. There is a common feature in these areas, that is, there is a huge global market, and in its development process, Google can make good use of its absolute advantages in the field of artificial intelligence. In order to maintain its dominant position and ensure its main source of revenue, alphabet, the parent company of Google, is positioning itself to dominate adjacent industries (such as digital commerce and brand hardware products) and trying to integrate its services into all aspects of the digital user experience.
And alphabet's cross domain cooperation is mainly based on its expertise in artificial intelligence and machine learning. The company believes this will help it become a full-service provider for consumers and businesses.
Entrepreneurs are taking advantage of China's talent and data advantages. Many AI companies have only been established for two years, but they are making rapid progress compared with their Western counterparts. As a result, China already has a number of Unicorns in the field of visual AI.
WiMi Hologram Cloud (NASDAQ:WIMI)focuses on computer vision holographic cloud services. According to the introduction, holography covers many aspects of total AR technology, such as holographic computer vision AI synthesis, holographic visual presentation, holographic interactive software development, holographic AR online and offline advertising, holographic arsdk payment, 5g holographic communication software development, holographic face recognition development, holographic AI face change development, etc. it is a comprehensive holographic cloud technology solution provider. Its business application scenarios mainly focus on five professional fields, such as home entertainment, light theater, performance system, commercial publishing system and advertising display system. WiMi Hologram Cloud (NASDAQ:WIMI)has become one of the leading integration platforms in the field of holographic AI in the world, integrating the identity of holographic AI cloud mobile software developer, service provider and operator.
WiMi Hologram Cloud (NASDAQ:WIMI) leading holographic AR content production function is built around image acquisition, object recognition, automatic image processing and computer vision technology. Wimi's software engineering team and visual design team work closely to continuously promote these visualization related technologies, and use them to design and produce innovative holographic AR content. By providing a real-time computer vision algorithm for accurate attitude estimation, scene recognition and tracking can be performed in a few seconds. This cutting-edge algorithm also allows to perform pixel based visualization of photo level real high-resolution rendering. Frost & Sullivan said that although most of the peer companies may identify and capture 40 to 50 image data within a specific space unit, the number of data blocks that can be collected by Weimei can reach 500 to 550; the image processing speed of Weimei is 80% faster than the industry average, thus improving the operation efficiency. In the process of scene reconstruction, Mimi's automatic image processing tool can remove the noise and enhance the features of the original images, so as to create the best holographic AR design with industry-leading simulation.
Compared with the domestic counterparts, WiMi Hologram Cloud (NASDAQ:WIMI)has established a comprehensive holographic AR content library. The format of holographic AR content covers from 3D model to holographic short video. As of December 31, 2018, it has 4654 ready to use AR holographic content, which can be used in 's holographic AR products and solutions, covering a wide range of categories, including animals, cartoon characters, vehicles and food. Among them, 2961 are used for educational scenes, 851 for tourism, 739 for art and entertainment, and 103 for popular science. In addition, Wimi's content library is enriched by copyrighted content licensed from third parties. WiMi Hologram Cloud (NASDAQ:WIMI)cooperates with various content owners, including brand owners, film producers and talent agents, to transform high-quality IP into AR form.
WiMi Hologram Cloud (NASDAQ:WIMI) image processing function is regularly optimized and improved, including two core technologies: holographic AI face recognition technology and holographic AI face change technology. Due to the development of video processing and recognition technology, 's holographic AR advertising and holographic imaging services based on image detection, recognition, template matching, image dynamic fusion and replacement are currently in a leading position in the industry.
Why is China so unique? We should consider the investment of AI. China is rich in two basic elements - computing power and capital. According to Gartner, a consultancy, the cloud computing market has grown by as much as 30% in recent years and will continue to grow. According to the statistics of Wuzhen think tank, a think-tank, from 2012 to 2016, China's AI enterprises received US $2.6 billion, which is lower than US $17.9 billion, but still growing rapidly in general.
Algorithm research and development is a process of continuous iteration and careful polishing. The biggest difference between industry and academia is that academia wants to create more algorithms and pursue more novelty and creativity, while industry pursues the system's function, performance and stability index. It does not require the invention of the most novel algorithm, but it needs to make the best use according to business needs and resource constraints System. Algorithm improvement in industry includes many dimensions, such as how to deal with data, data size and source, parameter setting, model structure, loss function design, model acceleration algorithm, etc. each factor may have a great impact on the final results. It is also very important to solve problems from a system perspective, such as designing a new system processing flow, such as defining problems as detection problems or identification problems.
For so many algorithm models, if each model needs to be iterated continuously and support different versions of different hardware platforms at the same time, how to continuously polish the core algorithm is a great challenge under the condition of limited resources of R & D personnel and training hardware. In the traditional algorithm development mode, the algorithm engineer often raises the task of data annotation, and the data annotation is completed by the data announcer. However, the algorithm engineer needs to care about how to develop annotation tools, how to train the announcer, how to transform the data format, how to purify the annotated data, and finally train the model manually on a physical computer.
According to Singapore's Lianhe morning post, Blackstone Group President Schwarzman pointed out that China's artificial intelligence technology has developed explosively. When he went to China, he said, he saw new companies opening up and companies moving into the field of artificial intelligence growing rapidly. According to the report, China has invested huge government funds in the research and development of artificial intelligence. Luo Haozhi, PwC's global president, believes that if the US corporate president, education and government no longer strengthen this aspect, the US is likely to start to lag behind.
China's artificial intelligence industry started relatively late, but it is in a period of progress in technology research and other infrastructure. The core of AI is massive data. China has a large population base, rapid development of mobile Internet, and huge data resources. Therefore, the rise of artificial intelligence is a rare opportunity for China, and it also opens the market door for China's AI technology enterprises.
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