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How Does The Artificial Intelligence Scene In China Compare To The United States?

What is the AI scene like in China compared to the U.S.? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.

Deep learning is the single greatest invention so far in the Era of Discovery, which was led by the US, but since the deep learning breakthrough, we’ve already entered the Era ofImplementationwhere what matters is execution, product quality, speed, and data.

Fierce competition pushes entrepreneurs to improve the product at lightning speed, and to develop impregnable business models.

Just within the last 3 years, mobile payments have emerged as the dominant transaction tool, replacing cash and credit cards.

Over 700 million Chinese users can pay each other, whether for online, offline, loan, or gift, whether to your child, a farmer in a village, or even a beggar.

China’s data edge is 3 times the US based on mobile users ratio, 10 times the US in food delivery, 50 times in mobile payment, and 300 times in shared bicycle rides.

Today, China has the world’s most valuable companies in computer vision, drones, speech recognition, speech synthesis, and machine translation.

This question originally appeared on Quora - the place to gain and share knowledge, empowering people to learn from others and better understand the world.

Translation: Chinese government outlines AI ambitions through 2020

December 12, 2017 Ministry of Industry and Information Technology (MIIT) Science and Technology Department In order to thoroughly implement the spirit of the 19th Communist Party of China (CPC) National Congress, speed up the development of advanced manufacturing, promote the in-depth integration of artificial intelligence (AI) and the real economy, and implement the plans of 'Made in China 2025' and 'New Generation of Artificial Intelligence Development Plan,' the Ministry of Industry and Information Technology has issued the 'Three-Year Action Plan for Promoting the Development of a New Generation of Artificial Intelligence Industry (2018-2020)' (hereinafter referred to as the 'Action Plan').

It focuses on the in-depth integration of information technology and manufacturing technology, with the industrialization and integration of the new generation of AI technology application as the focal point, to promote the in-depth integration of AI and the manufacturing industry and speed up the building of China into a manufacturing superpower and a cyber superpower.

First, focus on nurturing and developing intelligent and networked vehicles, intelligent service robots, intelligent unmanned aerial vehicles, medical image-assisted diagnostic systems, video image identification systems, intelligent voice interactive systems, intelligent translation systems, and smart home products and other intelligent products;

Third, there is a focus on deepening the development of intelligent manufacturing, to encourage the exploration and application of the new generation of AI technology in all aspects of the industrial sector, to enhance the innovation capability of intelligent manufacturing of key technology and equipment, and to foster the promotion of a new modes of intelligent manufacturing.

The Action Plan makes full use of the available resources and measures to strengthen the linkages between ministries and provinces and rely on the construction of national demonstration bases for new industrialized industries to support qualified areas to exert their own resource advantages and foster a group of leading enterprises in AI to and explore the construction of AI industrial clusters.

The plan promotes the establishment of manufacturing innovation centers in the relevant fields, setting up key laboratories, encouraging industries to open up data rationally, and supporting more key industries and key areas to increase their application so as to promote breakthroughs in the development of the AI industry.

We will strive by 2020, to achieve the goal of: 'scaled development of key AI products, significant enhancement in AI overall core fundamental capabilities, deepened development of intelligent manufacturing, and basic establishment of an AI industry support system.” In order to ensure that responsibility for each focus is clear, the Action Plan also sets forth measures to ensure five aspects, including: strengthen organized implementation, improve the degree of support, encourage innovation and pioneering work, accelerate personnel training, optimize the development environment, etc., to promote the formation of a positive development environment, ensure the successful implementation of the Action Plan, realistically advance AI industry development, and assist in the transformation and upgrading of the real economy.

In accordance with the “five in one” overall layout and the “four comprehensives” strategic layout, diligently promote the Party Central Committee and State Council’s policy directive to focus on deep integration of information technology and manufacturing technology, to advance industrialization and integrated application of new generation AI technology, develop high-end smart products, reinforce the core foundations, enhance the level of intelligent manufacturing, improve the public support system, all to promote the development of a new generation AI industry.

Through the implementation of four key tasks, strive to achieve a major breakthrough in a series of landmark AI products by 2020, establish an international competitive advantage in several key areas, improve the deepening of integration of AI and the real economy, and further optimize the industrial development environment.

—Scale-up the development of key AI products, substantially increase the technology level of intelligent networked vehicles, achieve the large-scale application of intelligent service robots, strengthen global competitiveness of products such as intelligent unmanned aerial vehicles, expand clinical application of medical image diagnosis systems, and ensure that video image recognition, intelligent voice, intelligent translation, and other products reach an internationally advanced level.

Develop intelligent control products, accelerate breakthroughs in key technologies, and develop and apply a series of intelligent devices featuring intelligent equipment for complex environment perception, intelligent human-machine interaction, flexible and precise control, and real-time group collaboration, etc.

intelligent home service robots and intelligent public service robots should achieve mass production and application in medical rehabilitation, assistance to elderly and the disabled, and fire and disaster relief, perfect technological and functional prototype production, and achieve demonstrations for over twenty applications.

Support intelligent obstacle avoidance, automatic cruise, autonomous flight for complex environments, group engagements, and research and development of other key technologies and applications to promote new-generation communications, positioning, and navigation technology in UAV data transmission, link control, monitoring, and management applications.

By 2020, the average accuracy rate of Chinese-language speech recognition in multi-scenarios should reach 96%, the recognition rate of 5 meters in far field applications will exceed 92%, and the accuracy of user dialogue intentional recognition rate should exceed 90%.

develop terminal neural network chips with an energy efficiency ratio that exceeds 1 TFLOPS/Watt (using 16-bit floating point as a bench), support one or several mainstream neural network algorithms, such as convolutional neural networks (CNN), recurrent neural networks (RNN), and long- and short- term memory networks (LSTM);

encourage the construction of an open computing service platform that meets the needs of complex training and encourages key leading enterprises to build a new industrial ecosystem based on open source and open technologies for software, hardware, data and application collaboration.

For in-depth implementation of intelligent manufacturing, encourage a new generation of AI technology in all aspects of exploration and application of industry, and support increasing levels of intelligence to support key areas of algorithm breakthroughs and application innovation, system upgrade manufacturing equipment, manufacturing processes, and industrial applications.

Enhance the intelligence level of logistics equipment such as high-speed sorters, multi-layer shuttle cars, and high-density storage shuttles to realize accurate, flexible, and efficient material distribution and unmanned intelligent warehousing.  By 2020, further improve the intelligence level of high-end CNC machine tools.

Set up a control and automatic diagnosis system based on standardized information collection, accelerate the training and optimization of fault prediction models and user habit information models, and improve the life cycle analysis ability of products and core accessories.  By 2020, reduce operating costs of digital workshops by 20% and shorten the product development cycle by 20%.

In order to solve the security technology problems such as vulnerability discovery, security testing, threat warning, attack detection, and emergency response, enterprises should promote the advanced application of advanced AI technology in the field of cybersecurity —by focusing on the key products or applications of AI such as smart cars, and smart homes—and accelerate the construction of shared resources such as vulnerabilities, risk libraries, and case sets.

By 2020, perfect the layout of the AI cybersecurity industry to form the framework of an AI security prevention and control system, and initially establish a security assurance platform with the basic abilities of AI security situational awareness, test evaluation, threat information sharing, and emergency response.

Strengthen cooperation between provinces and ministries and rely on the construction of a national demonstration base for new industrialized industries to support qualified areas in exerting their own resource advantages, fostering a group of leading enterprises in AI, and exploring the construction of AI industrial clusters to promote breakthroughs in the AI industry.

Take major needs and industry applications as the lead, build a typical test environment, build a product reliability and safety verification platform, organize collaborative research, support the development and adaptation of key application technologies of AI, and support innovative product design, system integration, and industrialization.

Encourage AI innovation and entrepreneurship and solutions contests to encourage manufacturing enterprises, Internet companies, and basic telecommunications companies to build 'double innovation' platforms, to play a leading role in key enterprises, to strengthen technical cooperation in research and development and application, and enhance industrial development and innovation and international competitiveness.

Take full advantage of the bilateral and multilateral cooperation mechanisms, and seize the opportunity of the Belt and Road Initiative to encourage scientific research institutes, enterprises, and trade organizations at home and abroad to broaden the channels of communication and conduct extensive cooperation to achieve mutual benefits and win-win cooperation.

China is determined to steal A.I. crown from US and nothing, not even a trade war, will stop it

As U.S. and Chinese officials engage in highly anticipated trade talks, officials from China have asserted that it will not discuss two of the biggest trade demands from the United States.

advances made by the United States so far, China has been silently but resolutely building an ecosystem that is feeding and fueling its ambition to become a world leader in A.I.

For one, the Asian economic giant has all the ingredients it needs to upstage Silicon Valley: generous government coffers, large population, a thriving research community and a society eager for technological change.

In line with its 2030 vision, the government of Tianjin, a city a couple of hours from Beijing, plans to build a $5 billion fund to support the A.I.

companies between 2012 and 2017, according to a white paper produced by Kai-Fu Lee, a former Google and Microsoft executive who now leads a venture-capital firm, Sinovation Ventures.

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