(Original title: What can be done to solve the problem? Voice interaction, face recognition is expected to become a pioneer in AI commercialization)
Editor's note
ã€Artificial Intelligence (AI) has developed into today, especially in recent years, and it has achieved leaps and bounds. It has gradually integrated into our lives, especially voice interaction and face recognition. It has long been a scene in TV. Today, can you imagine the artificial intelligence scene after ten years? Like ten years ago, would you dare to imagine the impact smart phones have on our lives?
Maybe you haven't felt the change of trend, but someone has already laid it out in advance, such as venture capitalists. Capital is the most sensitive indicator of artificial intelligence prospects, and artificial intelligence investment companies are increasing year by year. In the past week, many domestic companies related to artificial intelligence have obtained financing, and in 2017, it is expected to become the first year of global commercialization of artificial intelligence. 】
Every journalist Zhang Si intern reporter Liu Chunshan edits Xi Jinpi every internship
Do not use hands, just open the mouth to control the smart devices around, this experience is much better. As a result, major technology giants have deployed smart sounds to make it an entry point for home technology products. In addition to smart speakers, face recognition technology has become the hottest segment of the current venture, especially in financial authentication and security scenarios. According to a number of industry insiders, China has a large population and a large population, and has many advantages in the area of ​​artificial intelligence substitution, and it is expected that the commercialization of AI technology will lead the world.
â— compete for intelligent voice interaction consumer service
On July 5th, Alibaba officially released its first smart speaker Tmall Elf X1, the HomePod smart audio finale at the Apple Developers Conference in June. Before that, Amazon Echo has sold nearly 10 million units. Smart audio has become an important carrier of voice interaction technology. Another reason for being touted is that smart audio is expected to become the control entrance for various household technology products in the future.
On the other hand, through audio assistants such as Apple Siri, Microsoft Xiao Bing, and Duwei, and further extending real-time voice translation, voice input methods, voice control, etc., smart voice technology suppliers have discovered numerous application fields and are accelerating consumer-grade services. .
In terms of automotive applications, HKUST has cooperated with Mercedes-Benz, BMW, Toyota and other international manufacturers and domestic automakers. In March of this year, HKUST News and Changan Automotive announced that they will conduct comprehensive and in-depth cooperation in the field of intelligent technology development, product design, and vehicle application for the development of smart cars.
Li Yanhong, the founder of Baidu, repeatedly mentioned in the speech that the combination of hardware and software artificial intelligence products will be an important direction. In February of this year, Baidu purchased Raven Technology. In the outside world, Baidu is stepping up the output of artificial intelligence technology, through the combination of hardware and software. The product landed on the scene of life.
Since its debut in January of this year, Baidu DuerOS has reached cooperation with famous companies such as Midea, Haier, TCL, Lenovo, vivo, HTC, CITIC Guoan Guangshi and Xiaoyu at home, and has also been involved in televisions, refrigerators, smart wear, and automotive. Scenes provide users with a “live and feel free†life experience.
In an interview with the reporter of “Daily Economic Newsâ€, Longbirth, chief marketing officer of Stables, said that he is more optimistic about the application of vertical fields. Currently focusing on smart homes, vehicle-mounted Internet of Things, robotics, and other areas, through the creation of traditional technology companies, to achieve industrial upgrading.
â— "invisible" face recognition
Voice technology has begun to be used on a large scale with the help of smart phone assistants and smart audio. Image recognition, on the other hand, seems a bit cold and has not been widely discussed by ordinary consumers. Does that mean that image recognition is far away from us?
Long Mengzhu pointed out in an interview that users will use artificial intelligence image technology in the use of self-timer software such as Mito Xiuxiu. When capturing a picture, it is necessary to automatically capture the position of the face. The realization of beauty and special effects needs to lock the person's face, nose, and eyes. Baidu's search for maps and Tmall's commodity search are all based on image recognition technology. The reason why voice technology is more sensible is because users participate in active speech and voice feedback.
Dr. Xu Li, co-founder and CEO of Shang Tang Technology, told the reporter of “Daily Economic News†that face recognition technology has been used for many years in public security monitoring systems, home security systems, identity authentication, and entertainment internet, becoming the first in computer vision. Landing industry applications. In the cooperation list of Shangtang Technology, the largest number of corporate users are banks and financial companies. Their SenseTime face recognition technology cooperates with JD.com's wallet. Users can scan faces on JD.com wallets to complete comparisons and unlock passwords. Instead of the traditional password login method.
Jeff Lin, the founder of computer vision startup Insight, said in an interview with reporters that face recognition technology is currently the hottest segment of entrepreneurship, especially financial identity authentication and security scenes, which have become the focus of artificial intelligence startups.
Different from voice interaction, computer vision companies almost always provide technical support to other companies, rather than directly providing related products to consumers. Xu Li told reporters that the current technology can achieve a single visual vertical field accuracy beyond humans, but the overall video scene content, object recognition, at this stage has not yet reached the standard level of people, which is why there is no computer vision technology level Consumer products.
â—China's opportunities
Human-computer interaction based on “smart voice operating system†and intelligent image recognition with “face recognition†as the core, as well as the connected smart home, IoT and security, and identity recognition scenarios are gradually becoming AI. Commercial landing of the main battlefield. To achieve vertical applications in areas such as smart audio and face recognition, artificial intelligence startups are also trying more applications.
Wang Shangzhi, a computer industry analyst, told the Daily Economic News reporter that China has many advantages in the field of artificial intelligence, and it is expected that the commercialization of AI technology will surpass the international curve. The potential of the Chinese market is large and the population density is large, which determines the demand for personalized services. In addition, artificial intelligence is expected to replace many low-end laborers with strong repetitiveness.
“In terms of data business scenarios, China itself has some inherent advantages. China has a large population and abundant population. No matter whether it is object recognition or scene recognition, technology companies can obtain first-line data in various scenes; secondly, China has all the AI ​​in the field application practice. The application scenario, and the environment is brave enough to accept new technologies and new things; in addition, there are enough talent reserves for China's artificial intelligence engineers. Based on these three conditions, the Chinese artificial intelligence can actually lead the world.†Xu Li told reporters “Each Japan Economic News reporter said.
At the same time, Wang Shangzhi pointed out that artificial intelligence technology is not mature in China's entrepreneurial environment and mechanisms, laws and policy supervision are not yet perfect, and in some aspects hinders the rapid integration of Chinese artificial intelligence technology and practical applications.
[No more investment before the first investment in the past week for at least 4 artificial intelligence companies]
Every reporter Zhang Si has edited Xi Jinpi
Capital is the most sensitive indicator and artificial intelligence (AI) investment companies are increasing year by year. In the past week, Chinese startup companies including Tang focus technology, robotics company Geek+, cloud-brain technology, and Tesla Technology have issued financing information, including Shangtang Technology 4.1 Billion US dollar B round of financing set a record for the global single-wheeled artificial intelligence market.
A number of investors said in an interview with the reporter of the “Daily Economic News†that with the accumulation of big data and the improvement of cloud computing infrastructure, artificial intelligence technology is bringing tremendous changes to our industry development, and 2017 is expected to Became the first year of global commercialization of artificial intelligence.
"Artificial Intelligence +" becomes a new trend
What makes AI suddenly fire up? Almost all people answered in an interview with this reporter - "AlphaGo".
The development of the artificial wave of artificial intelligence has gone through 5 years so far. The venture capital firm Lanchi Ventures has been focusing on artificial intelligence since 2012. At that time, they came to the conclusion that the basis of artificial intelligence is big data, and the basis of big data is cloud computing. This matter is actually anxious. The first problem to be solved is data and the underlying cloud computing platform.
Lu Chi Venture Capital executive director Cao Yu told the Daily Economic News reporter that Baidu founder Li Yanhong drove the company’s research and development of driverless cars on the five rings, which is an industry signal. The autopilot technology has been delivered through actual operations, which shows that around the accumulation of technology, the application of multiple scenarios can now be applied. The development of artificial intelligence has reached the critical point of commercial outbreak.
In an interview with the “Daily Economic Newsâ€, Lenovo’s Star Investment Manager Wang Zheng talked about the above-mentioned Shang Tang Technology financing case. In his opinion, the high financing of Shangtang Technology comes from the company's large number of applications. In the early days, Shang Tang Technology, which entered the field, had a strong ability to recognize the industry. After accumulating a large amount of operational data, it was very clear about the landing of the application scenario.
The Lenovo Star is one of the major investment institutions in the field of artificial intelligence in China. Both the company’s early-investment companies Contempt Technology and Incischi are expected to become unicorn potential companies in computer vision and speech recognition.
The above two investment institutions are just a microcosm of the huge investment network. In March of this year, artificial intelligence was written into the government work report. The national leadership attached great importance to artificial intelligence as a strategic development technology. Domestic IT giants such as Baidu, Ali, Tencent, and Amazon, Apple, Facebook, and Microsoft all regard artificial intelligence as the breakthrough point for the next technological revolution and invest heavily in accelerating their deployment.
According to statistics of CB Insights, 61 artificial intelligence enterprises were financed in 2010. By 2016, 522 artificial intelligence startups had obtained financing; the investment amount soared from the original 81 million US dollars to 3.12 billion US dollars.
Why does the market place so much emphasis on the development of artificial intelligence? According to the Accenture research report of the consulting company, through the comparison of the economic growth rates of the 16 super industries, the industry’s economic growth potential will increase as more industries integrate artificial intelligence technologies. It is estimated that by 2035, artificial intelligence can increase the average profitability of all involved industries by more than 30%, resulting in an increase in the total economic value of nearly US$14 trillion.
There is no doubt that "artificial intelligence +" will become a new trend, but it is not the specific track for O2O, e-commerce and consumer upgrades, but it is like the Internet, providing a technological tool for industrial upgrading - The birth of the Internet has made O2O, e-commerce and consumer upgrades possible. When artificial intelligence is mature, all industries can use artificial intelligence to improve their efficiency and productivity. This is also why it is highly concerned about capital and the industry.
How to come from high financing high valuation
Investigating valuations on an academic level is the basic logic for some investments in the AI ​​sector in the past, but this situation is changing from this year onwards.
"Investment is a risky business. Since it is a business, it must pay serious attention to investment. Especially for technical projects, it is more difficult to realize. Only companies that emphasize technology and do not emphasize landing will be treated cautiously," said Wang Zheng. Companies that can obtain high valuations, in addition to focusing on the background of the team, are more concerned with their ability to obtain various types of resources, including whether or not they have selected the track.
Cao Yong also holds the same view, “under the premise of accumulation of basic technologies, we must choose a large industrial track, such as logistics, in addition to the team background, technical capabilities, but also to understand its understanding of the logistics industry, whether it can really pass Data processing helps logistics companies achieve space optimization, which requires scientists and technology founders to have a certain understanding of industry needs, and their design plans must not only meet the needs of industry applications, but also have sales capabilities to ensure that enterprises can use them.
According to the research report of Zhiyan Consultation, the areas with large investment include natural language processing, robotics, smart home, smart driving, and smart finance. Among them, natural language processing, robotics, computer vision and other fields have obtained a large amount of investment, all exceeding 1.5 billion yuan.
In addition, according to the Accenture research report, the future of anthropomorphic technologies will be widely used in communications, manufacturing, and finance, and it is expected to become the top three industries with the highest economic growth in 2035.
However, the large-scale application of artificial intelligence still lacks successful cases. Artificial intelligence enterprises are difficult to realize. Behind the high investment, artificial intelligence enterprises are still struggling to explore the scene of commercialization. If you can't achieve a combination of technology and practice, artificial intelligence is a bubble that waits to poke.
In addition, premature business concerns are also an obstacle to academic progress in artificial intelligence. The industry believes that the application bonus brought about by the last breakthrough in academic circles (deep learning algorithm) may soon be over.
[AI talent demand increases by 8 times in 3 years]
Each journalist Zhang Si intern reporter Zong Xu edited by Xie Jinchi
According to the "Global AI Field Talent Report" released by LinkedIn (Lee), the demand for talent in the AI ​​field has increased rapidly in the past three years. The number of AI-related posts released through the LinkedIn platform has approached 50,000 jobs since 2014. More than 440,000 jobs by 2016. The surge in demand for jobs in three years not only demonstrated the rapid development of artificial intelligence in recent years, but also reflected the lack of talent behind artificial intelligence.
Why is the demand for AI talent so great? A number of industry sources said in an interview with reporters that buying talent is buying the future. In the next 5 to 10 years, the shortage of artificial intelligence talents may increase.
People flow into normal
The scarcity and high mobility of personnel have driven the rapid rise in artificial intelligence talent prices. In this "arms race" for artificial intelligence talent, the use of absolute high salary to attract senior experts and university researchers has become a common method used by high-tech enterprises. .
In 2013, Google invited Geoffrey Hinton to join the Google brain team. Geoffrey Hinton's company DNNresearch had no product and only three people. Apple’s tactics are the same as Google’s. In 2016, it acquired the artificial intelligence company named Turi, founded by Guestrin in Seattle.
In addition, the surge in talent demand has also led technology companies to gradually focus on the top academic talents in the AI ​​field of major universities. In 2013, Facebook drowned Yann LeCun, a professor at New York University, one of the three leaders in deep learning, as the head of the Facebook Artificial Intelligence Laboratory; Google invested US$4.5 million at the University of Montreal; and Intel donated US$1.5 million at Georgia Tech University. Establish a machine learning and cyber security research center.
In China, the most famous AI talent competition case was Wu Enda joining Baidu. Wu Enda joined Google X Lab in 2010 and was responsible for creating the world’s largest neural network “Google Brain†in 2011.
However, under the scourge of artificial intelligence, the talents dug up won't necessarily be their own. Taking Baidu as an example, after successfully digging Wu Enda, in June 2015, Yu Kai, executive vice president of the Baidu Institute of Deep Learning announced his departure. In March of this year, Wu Enda also announced the resignation of Baidu. Baidu senior vice president (formerly the general manager of the unmanned driving department) Wang Jin announced his departure. In addition, Zhang Qian, who had left previously, Baidu artificial intelligence top talents have left. In the domestic artificial intelligence technology talent market, Baidu played the tragic role of the “Huangpu Military Academyâ€.
Why do these companies spend a lot of money to buy talent? Dr. Xu Li, co-founder and CEO of Shang Tang Technology, said in an interview with the reporter of “Daily Economic News†that buying talent is buying the future. "At the time, when Google paid 400 million pounds for the DeepMind company, only 50 people in the world truly understood the design of deep learning engines. Of these, 12 were in DeepMind, so Google actually bought future engine designs."
Lack of creative talent
For artificial intelligence talents, Google’s senior researcher Dr. Greg S Corrado in the field of artificial intelligence and machine learning thinks that there are two types, one is those engineers who can truly understand and use artificial intelligence tools, and the other is innovative and Business-minded people can effectively apply artificial intelligence technology more widely.
According to the Global AI Field Talent Report, the number of global artificial intelligence talents in the first quarter of 2017 exceeded 1.9 million, of which the United States had more than 850,000 occupying half of the country; China had 50,000 and ranked seventh in the world. In terms of talent structure, there is a significant gap between the number of senior AI talent in China and the United States.
Computer industry analyst Wang Shangzhi analyzed in an interview with the reporter of “Daily Economic News†that in the field of artificial intelligence, China has a strong talent pool, especially the quality of “engineersâ€, but China still lacks “creative talentsâ€. "The lack of a profound understanding of the business model changes and global influence.
Xu Li also believes that China indeed has a large reserve of future AI engineering personnel, but lacks top-level research talents. "Above all, AI research can really guide the promotion of talents in the entire industry. It is very scarce. Two countries are the smartest people who rely on PK."
Professor Deng Zhidong of Tsinghua University analyzed in an interview with the reporter of “Daily Economic News†that with the rise of the industry, in the next 5 to 10 years, the shortage of artificial intelligence talents may increase.
How to solve the problem of talent cultivation? This incident involves three parts: government, business, and university. According to Deng Zhidong, as the government, it is necessary to introduce policies, such as supporting the establishment of more artificial intelligence majors in first-class universities, or creating artificial intelligence colleges, or supporting social education, using online teaching methods such as MU lessons, and innovating institutional mechanisms. The way to cultivate a large number of artificial intelligence research and development talents for the society. “The University of Chinese Academy of Sciences has recently established an artificial intelligence technology college, which is a good start.â€
Chinese universities and research institutes should pay more attention to the exploration and innovation of cutting-edge technologies for artificial intelligence, and cultivate a large number of engineering and technology development talents for Chinese artificial intelligence companies. Moreover, enterprises must accelerate the process of industrial landing and realize their commercial value.
Pv Ribbon Machine,Solar Pv Ribbon Machine,Ribbon Machine,High Efficiency Pv Ribbon Machine
Jiangsu Lanhui Intelligent Equipment Technology Co., Ltd , https://www.lanhuisolar.com