The commercialization of artificial intelligence is accelerating, and it is becoming more and more widely used in various fields
The development of artificial intelligence must be based on massive amounts of big data, exponentially increasing computing power and breakthroughs in machine learning algorithms. It can even be simply understood as "deep learning + big data = artificial intelligence". At present, breakthroughs have been made in these issues. The continuous emergence of high-performance artificial intelligence processor chips such as GPUs, FPGAs, and ASICs has greatly improved data processing capabilities. Massive data has provided sufficient fuel for the development of artificial intelligence, and the application of big data cloud computing technology has enabled the storage and development of information Achieved.
The advent of the "AI+" era has triggered innovative upgrades of hardware and software services such as mobile phones, Internet of Things, automobiles, and chips. The expansion of functions such as face recognition and virtual reality has led to an increasing number of application scenarios.
For example, Apple mobile phones and domestic mobile phones equipped with AI fingerprint recognition and face recognition have already been on the market. Today Toutiao has also used its own rich data, including text, pictures, videos, live Q&A, etc., to allow artificial intelligence technology to participate in creation and For communication, there are already a lot of articles written by artificial intelligence. Tencent has developed a Go AI product "Fine Art" similar to AlphaGo, and Alibaba has developed a smart speaker Tmall Genie X1 and an intelligent customer service "Ali Xiaomi".
AI + Autonomous Driving
On February 15, 2018, on the Chinese New Year’s Eve of the Year of the Dog, Baidu’s Apollo unmanned vehicle made a stunning appearance at the 2018 CCTV Spring Festival Gala. In the driving mode, the "8" cross-running and other actions are completed. The Baidu Apollo unmanned vehicle unveiled this time covers a variety of models, including the driverless new energy passenger car in cooperation with Baidu and BYD, and the nationwide cooperation with King Long. The first unmanned circulation bus, as well as unmanned road sweepers and unmanned logistics vehicles, etc., the use scenarios include home travel, park connection, city cleaning, logistics transportation, etc.
This is the first time that the "AI+autonomous driving" application scenario has been presented to the people on a large scale. It is conceivable that if the automatic driving is applied on a large scale, it will greatly subvert our current transportation mode. However, technological progress and the application of scenarios is a gradual process, and most of the autonomous driving technologies are still being tested. The Society of Automotive Engineers (SAE) issued a six-level classification system for autonomous driving in 2014, dividing autonomous driving technology into six levels: 0, 1, 2, 3, 4, and 5. The levels are divided and described as follows:
SAE autonomous driving (ADAS) classification
At present, most cars in daily use are between level 0 and level 1, while the smart car market of traditional car dealers is generally at the level 2 stage, which is mainly assisted by automatic driving, and Tesla’s Autopilot is assisted. Driving skills belong to the second level of technology.
AI + Smart Finance
In addition to deep learning algorithms for the development of artificial intelligence, the use of big data has provided a solid foundation for AI. The financial industry can be said to be the industry with the best accumulation of big data in the world. Banking, securities, insurance and other businesses are originally based on large-scale According to the data, these industries have carried out the construction of automation systems very early. Most financial professionals spend a lot of time processing and analyzing data every day. In the past few decades, the financial industry has become accustomed to establishing automated models for financial services based on mathematical methods and statistical laws to fit the implicit laws in the complex digital world.
However, compared with traditional financial analysis, artificial intelligence data processing volume is larger, the cost is lower, the speed is faster, and it can be done 7X24 hours, providing customers with more, more accurate and faster added value, and with With the development of smart finance, financial institutions can develop more customers in the long-tail market. The use of Yu'e Bao is a good example.
The Yu'e Bao launched by Ant Financial. Since its launch in 2013, the scale of Yu'e Bao has reached 1.7 trillion. It is the world's largest currency-based public offering fund. Yu'e Bao has nearly 500 million users, and many of them are money. Small long-tail users. The booming growth of Yu'e Bao can be seen: the investment enthusiasm of low-net-worth customers continues to rise, and they are no longer simply satisfied with bank demand deposits with low interest rates, but hope to get more financial services.
On June 9, 2018, Ant Financial announced the completion of a new round of US$14 billion in financing, setting the world’s largest single private equity financing so far. This round of financing is mainly used for Alipay’s global expansion. After the financing, Ant Financial's valuation has reached 150 billion U.S. dollars.
The development of artificial intelligence in the financial field still has great prospects. At present, the more mature applications of artificial intelligence in the financial industry mainly include robo-advisors, intelligent quantitative trading, and intelligent customer service. The main methods used are machine learning, natural language processing, knowledge graphs, and computer vision.
Three major applications of AI + smart finance
AI＋Intelligent Security
From 2011 to 2016, the domestic security market maintained double-digit growth for five consecutive years. In 2016, the domestic security market reached 541 billion yuan, of which the security equipment market was about 190 billion yuan. Video surveillance is the largest application product in the security industry. The scale is 96.2 billion yuan, accounting for 50.63% of the overall scale of security equipment. However, the homogeneity of the traditional security industry is serious, and the acceleration of the process of networking and high-definition in video surveillance has become a trend.
The main purpose of smart security is to transform the unstructured image information in video surveillance into structured data that the computer can understand, and use data mining methods to convert "massive video data" into "effective intelligence" to realize the security industry The intelligent upgrade from "seeing clearly" to "understanding".
Smart security extracts effective intelligence from massive data
Intelligent security needs to use machine learning to achieve feature extraction, target recognition, and then organize the text information that can be understood by computers and humans according to standard video content, which can drive a significant improvement in image recognition and classification accuracy.
The intelligent security industry chain mainly includes engineering construction and maintenance (approximately 50%); secondly, hardware and system manufacturers (approximately 34%), representing companies such as smart security listed companies Hikvision, Dahua Co., Ltd., etc.; 3. Software and algorithm companies (approximately 15%). In artificial intelligence startups, the four unicorn companies (Shangtang Technology, Megvii Technology, Yuncong Technology, Yitu Technology) ) And other technologies such as face recognition, online identity verification, intelligent monitoring, and image recognition.
AI + intelligent manufacturing
Since the launch of the "Made in China 2025" strategy, intelligent manufacturing has always been the focus of national attention. The scope of intelligent manufacturing is very wide. Here we mainly talk about the robot industry that is closely connected with artificial intelligence. With the expansion of artificial intelligence technology, industrial robots and services The development and application of type robots have also received great attention from the market because of their great practical significance.
After 2010, China’s manufacturing employment has continued to decline, and the aging phenomenon has begun to appear. With the shrinking labor supply, labor costs have risen. On the one hand, the demographic dividend has gradually disappeared, and the artificial replacement of the manufacturing industry is imminent. "Machine replacement" is The general trend, in 2013, China has become the world's largest market for industrial robots.
In January 2017, Midea announced that it would acquire a 94.55% stake in Germany's KUKA, one of the four major global industrial robot manufacturers, for 29.2 billion yuan (the other three are ABB in Switzerland, FANUC and Yaskawa Electric in Japan). , Entered the field of robot manufacturing, and through the acquisition of KUKA, helped Midea implement its smart manufacturing strategy and quickly improved its own robot R&D and application level.
On the other hand, people's quality of life is improving, and the requirements for product quality and quality are getting higher and higher, and automation and intelligence are very effective means to improve product quality. Third, the mobile phone era is similar to the PC era and mobile Internet. At present, in the era of the great development of artificial intelligence, service robots are also rich in application scenarios. At present, the quality of service robots has been greatly improved regardless of software or hardware. , The application scenarios are also constantly expanding.
On May 3, 2018, the domestic AI unicorn company and humanoid robot research and development company Shenzhen Youbican Technology announced the completion of a US$82 million Series C financing led by Tencent. This round of financing refreshed SenseTime's single-round financing The highest record of USD 620 million, Ubisoft’s valuation will reach USD 5 billion. Robots have many uses. Industrial robots are widely used in cutting, welding, palletizing, spraying, etc., and service robots are also widely used in medical, education and public services.
Classification of Robots by the Chinese Institute of Electronics
AI + Smart Medical
In his book "Artificial Intelligence", Kai-Fu Lee believes that one of the most meaningful help for mankind by artificial intelligence is to promote the development of medical technology, allowing machines, algorithms and big data to serve mankind’s own health, and making smart medical care become the future human on earth. The core technology to resist disease and prolong life. With the promotion of artificial intelligence applications, the gradual maturity of technologies such as voice interaction, computer vision, cognitive computing, and cloud computing, various applications of artificial intelligence in the medical field have become possible.
This mainly includes: voice entry of medical records, intelligent recognition of medical images, auxiliary diagnosis and treatment/cancer diagnosis, medical robots, intelligent analysis of personal monitoring big data, etc. For example, using AI to assist in disease diagnosis can reduce misdiagnosis caused by doctors’ lack of experience, save the time it takes for doctors to diagnose cancer, improve the effect of early cancer diagnosis, and greatly reduce cancer mortality. For another example, imaging is an important diagnostic basis, but how to obtain high-quality medical imaging data is a difficult problem in the medical field, and deep learning can improve the quality of medical images, and the deep learning technology of artificial intelligence can be extracted from medical images. Useful information to help doctors make accurate judgments.
The application of artificial intelligence in the medical field
The era of artificial intelligence has begun, accelerating the layout in various fields
The technology of artificial intelligence is still improving, and in addition to the above five fields, there are also online education, smart life, communication, etc., we will not repeat them here. But what is certain is that artificial intelligence will be ubiquitous, and the shock of the Go game between Alpha Dogs and humans and the unmanned driving on the Spring Festival Gala stage is just the beginning.
Artificial intelligence will accelerate its implementation in technology and business, while technologies and applications such as the Internet of Things, intelligent computing chips, machine learning, and deep learning will continue to advance rapidly. Domestic giants such as BAJT (Baidu, Alibaba, JD.com, Tencent) and even 360 will be The field of artificial intelligence continues to deepen its layout. We expect artificial intelligence to bring more and better changes to our work and life.
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