Analysis of the seven areas with the most artificial intelligence applications

Artificial intelligence is a fringe subject, which belongs to the intersection of natural science and social science. Involving philosophy and cognitive science, mathematics, neurophysiology, psychology, computer science, information theory, cybernetics, uncertainty theory, etc. Artificial intelligence is, in its essence, a simulation of the information process of human thinking.

Analysis of the seven areas with the most artificial intelligence applications

Computers are used to study the main material basis of artificial intelligence and the machines that can realize artificial intelligence technology platforms. The development history of artificial intelligence is connected with the development history of computer science and technology. In addition to computer science, artificial intelligence also involves multiple disciplines such as information theory, cybernetics, automation, bionics, biology, psychology, mathematical logic, linguistics, medicine, and philosophy.

The main content of artificial intelligence research includes: knowledge representation, automatic reasoning and search methods, machine learning and knowledge acquisition, knowledge processing systems, natural language understanding, computer vision, intelligent robots, automatic programming, etc. Artificial intelligence has broad prospects. Recently, "AI+" has become a company. So far, the following are the scenarios where artificial intelligence is most used.

Home

Smart home is mainly based on the Internet of Things technology, forming a complete home ecosystem through smart hardware, software systems, and cloud computing platforms. The user can remotely control the equipment, the equipment can be interconnected, and self-learning, etc., to optimize the safety, energy saving, and convenience of the home environment as a whole. It is worth mentioning that, with the development of intelligent voice technology in the past two years, smart speakers have become a breaking point. Xiaomi, Tmall, Rokid and other companies have launched their own smart speakers, which not only successfully opened up the home market, but also cultivated user habits for more smart home products in the future. However, the current home market has a wide variety of smart products. How to break through the communication barriers between these products and establish a safe and reliable smart home service environment is the next step for the industry.

retail

The application of artificial intelligence in the retail field has been very extensive. Unmanned convenience stores, smart supply chains, passenger flow statistics, unmanned warehouses/unmanned vehicles, etc. are all popular directions. The unmanned warehouse independently developed by JD.com uses a large number of intelligent logistics robots for collaboration and cooperation. Through artificial intelligence, deep learning, intelligent image recognition, big data applications and other technologies, industrial robots can make independent judgments and behaviors, and complete various complex Tasks are automated in the links of commodity sorting, transportation, and out of warehouse. Tupu Technology applies artificial intelligence technology to passenger flow statistics. Through the facial recognition passenger flow statistics function, stores can establish customer flow user profiles from dimensions such as gender, age, facial expressions, new and old customers, length of stay, etc., providing for adjustment of operating strategies The data foundation helps store operations improve the conversion rate from the perspective of matching real to store customer flow.

traffic

Intelligent transportation system is the product of integrated application of communication, information and control technology in transportation system. The region where ITS is most widely used is Japan, followed by the United States, Europe and other regions. At present, the application of ITS in my country is mainly through the collection and analysis of vehicle flow and speed in traffic, which can monitor and dispatch traffic, effectively improve traffic capacity, simplify traffic management, and reduce environmental pollution.

Medical treatment

At present, image algorithms and natural language processing technologies in vertical fields can basically meet the needs of the medical industry. Many technical service providers have appeared on the market, such as Deshang Yunxing, which provides intelligent medical imaging technology, and develops artificial intelligence cell recognition medical diagnosis. The intelligent WeChat section of the system, Ruoshui Medical, which provides an intelligent auxiliary diagnosis service platform, and Yitong Tianxia, ​​which provides statistics and processing medical data, etc. Although smart medicine plays an important role in assisted diagnosis and treatment, disease prediction, medical imaging assisted diagnosis, drug development, etc., the lack of circulation of medical imaging data and electronic medical records among hospitals has led to problems such as opaque cooperation between enterprises and hospitals. There is a contradiction between technological development and data supply.

Analysis of the seven areas with the most artificial intelligence applications

education

Companies such as HKUST Xunfei and Yixue Education have already begun to explore the application of artificial intelligence in the field of education. Through image recognition, machine correction of test papers, identification and answering of questions, etc. can be performed; voice recognition can be used to correct and improve pronunciation; and human-computer interaction can be used to answer questions and solve questions online. The combination of AI and education can improve the uneven distribution of teachers in the education industry and high costs to a certain extent, and provide teachers and students with more efficient learning methods from the tool level, but it cannot have more substantial impact on the content of education.

Logistics

The logistics industry has been automated in transportation, warehousing, distribution, loading and unloading and other processes through the use of intelligent search, reasoning planning, computer vision, and intelligent robots, and can basically realize unmanned operation. For example, using big data to plan the intelligent distribution of goods, optimize the allocation of logistics supply, demand matching, logistics resources, etc. At present, most of the manpower in the logistics industry is distributed in the "last mile" distribution link. JD.com, Suning, and Cainiao are vying to develop unmanned vehicles and unmanned aerial vehicles to seize market opportunities.

Security

In recent years, China's security surveillance industry has developed rapidly, and the number of video surveillance continues to grow. The total number of surveillance cameras installed in public and personal scenes has exceeded 175 million. Moreover, in some first-tier cities, video surveillance has achieved full coverage. However, compared with foreign countries, my country's security monitoring field still has a lot of room for growth.

Up to now, the development of the security monitoring industry has gone through four development stages, namely, the era of analog monitoring, digital monitoring, network high-definition, and intelligent monitoring. Every industry change has benefited from the technological innovation of algorithms, chips and components, and the resulting cost reductions. Therefore, technological innovation and cost control in the upstream of the industrial chain have become the key to the function upgrade of the security monitoring system and the growth of the industrial scale, as well as an important foundation for the sustainable development of the industry.

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