Catalyst continues to fall in the artificial intelligence industry from "quantification" to "quality change"

It is reported that the Libratus artificial intelligence program developed by Carnegie Mellon University will come to China in April to conduct a "man-machine battle" with the German players in the German-speaking world. According to reports, this CMU-developed program called Libratus will challenge the Chinese defensive masters with the translation of “The Master of Cold Fighting”. The initiator of this challenge is CMU alumni and founder of Innovation Workshop Li Kaifu. .

During the Chinese New Year this year, Libratus had taken four human pros in the Rivers Casino in Pittsburgh, Pennsylvania, and took a total of $1.76 million in prize money. It is worth noting that the fight against Libratus is among the best players in the Debus professional game. According to industry insiders, AIs such as Libratus can be used in such fields as business negotiation, cyber security, and medical plan development. The ultimate goal of the development of artificial intelligence is likely to produce a universal artificial intelligence (AGI). Universal AI can solve any problem, instead of focusing on poker or Go like Libratus or AlphaGo. To realize AGI, it is necessary for AI to solve the problem of uncertainty. This is the main reason why Libratus has excited the scientific and technological community and the scientific community.

In addition, the 4th China Robot Summit and Intelligent Economy Talents Summit with the theme of "Smart + Times, Outstanding Future" will be held in Yuyao, Ningbo on May 16-17. More than 100 important guests such as researchers from the High Technology Research and Development Center of the Ministry of Science and Technology and heads of the world’s top 500 companies have already confirmed their participation. In addition to holding reports, interviews, forums, exhibitions and other activities, the summit will organize several "industry robot supply and demand docking promotion conferences" in different fields of application to provide equipment manufacturers and end users attending the conference. A platform for mutual exchange, supply and demand cooperation, and promotion of enterprises to expand sales and create favorable conditions for the promotion of demonstration applications.

In the recent surge of artificial intelligence, IT giants set off an upsurge of mergers and acquisitions in the artificial intelligence industry. Among them, chip giant Intel announced the acquisition of Israeli mobile technology company Mobileye for 15.3 billion U.S. dollars, raising industry mergers and acquisitions to the level of 10 billion U.S. dollars. According to industry insiders, as artificial intelligence has gradually matured in various fields, industrial investment has entered the stage of “supply and demand boom”, and the industry has gradually moved from “quantification” to “quality change”. As far as driverless and intelligent investment advice is concerned, it is expected to become the first field of artificial intelligence.

First, driverless. According to international practice, unmanned driving is divided into L0 level to L5 level. In the process of driverless evolution from L0 to L5, the application of ADAS (Automatic Driver Assistance System) is the key to advancing this process. Since its establishment in 1999, Mobileye has become the dominant global ADAS market in just over 10 years, with a market share of 75%. Currently, Eyeye, a chip developed by Mobileye, has previously assembled 313 models of 27 car companies, and has shipped more than 15 million vehicles worldwide. At the same time, the HIS report shows that the ratio of new cars based on artificial intelligence technology-related systems will increase from 8% in 2015 to 109% in 2025. The earnings report from Mobileye is also evident. In 2016, Mobileye achieved operating income of US$358 million, an increase of 48.7% year-on-year, and achieved GAAP net profit of US$108 million, a year-on-year increase of 58.3%.

In fact, drones are Google, Baidu and other IT giants compete for the commanding heights in the field of artificial intelligence. On March 1 this year, Baidu announced that it will integrate its current business and resources to form the Intelligent Driving Business Group (IDG), which will be led by Bai Qi Group’s president and chief operating officer Lu Qi. Baidu CEO Li Yanhong said that when the driverless business matures and needs to attract more funds and partners, it will consider splitting the driverless car sector. CITIC Securities believes that the application of unmanned and financial technology will be the first to land. This round of artificial intelligence development has mainly benefited from the drive of big data, deep learning and neural networks. The driverless and financial technology industry has rich data sources and real-time data updates. Compared with e-commerce, smart hardware, culture and entertainment industries, the automobile and financial industries can provide greater bodybuilding and profitability, and are therefore more favored by capital. Related companies: NavInfo, DeRun Electronics.

Second, intelligent investment advice. Financial technology is another major area where artificial intelligence accelerates landing. At the same time, the combination of the financial industry and artificial intelligence has triggered a wave of smart investment consultants. In August 2015, BlackRock, the world's largest asset management company, spent $150 million to $200 million to acquire wealth management startup Future Advisor to prepare for the company's robotic financial consulting business; 2016 In March, Goldman Sachs announced that it will acquire Honest Dollar, an online retirement account financing platform. In November 2016, Wells Fargo and the US smart investment platform SigFig announced the launch of a new intelligent consulting service roboadvisor. CITIC Securities believes that the technologies used in financial technology include cutting-edge technologies such as big data, intelligent data analysis, artificial intelligence, and blockchain. Intelligence is an important development direction of financial technology. Its main applications include automatic report generation, quantitative transactions, financial search engines, and smart investment consultants. Artificial intelligence-related technologies closely related to financial science and technology include machine learning, knowledge maps, natural language recognition and processing. Related companies: Hang Seng Electronics, HKUST News.

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