What areas is artificial intelligence currently focusing on?

Currently artificial intelligence focuses on 7 major areas, namely: 1. Furniture and home appliances; 2. Retail sales, such as unmanned convenience stores, smart logistics information systems, passenger flow statistics, etc.; 3. Road networks; 4. , diagnosis and treatment; 5. education; 6. freight; 7. security.

The operating environment of this article: Windows 7 system, Dell G3 computer.

Currently artificial intelligence focuses on 7 major areas

1. Furniture

The key to smart home appliances is application scenario cloud computing technology, based on smart products, system software, and cloud computing platforms, a complete set of detailed furniture ecological chains are formed. Users can remotely operate devices, share data between devices, and conduct self-learning, etc., to overall improve the safety, power saving, convenience, etc. of the home environment. It is worth mentioning that in recent years, with the transformation of speech recognition technology, smart speakers have become an outbreak point. Companies such as Redmi, Taobao, and Rokid are competing to release their own smart speakers, which not only opens up the home building materials market, but also shapes customer habits for a large number of smart home appliances in the future. However, the current home building materials market has complex types of smart home products. How to connect these products and create a reliable smart home appliance business environment is the focus of the next stage of this manufacturing industry.

2. Retail sales

The application of virtual reality technology in the retail field has long been very common, including unmanned convenience stores, smart logistics information systems, passenger flow statistics, and unmanned Warehouses/unmanned vehicles are all popular directions. The unmanned warehouse independently developed by Suning.com uses a large number of automated logistics robots for cooperation and coordination. It uses virtual reality technology, deep neural networks, image automatic identification, big data application and other technologies to enable industrial robots to carry out independent judgments and actions. , carry out various complex tasks, and maintain intelligence during the stages of goods sorting, transportation, and warehousing. Tupu Technology applies artificial intelligence to passenger flow statistics. Based on the facial recognition passenger flow statistics function, the store can create portraits of customers who have visited the store from the aspects of gender, age, expression, new and old consumers, length of stay, etc., in order to adjust business strategies. Provide data foundation to assist store management in improving conversion rates from the perspective of matching real store traffic.

3. Road network

Intelligent transportation system is the material used in the modularization of communication, information and control systems in the transportation system. The most widely used region for ITS is South Korea, followed by the United Kingdom, Europe and other regions. At present, China's application of ITS mainly focuses on collecting and analyzing the number of vehicles and driving speeds in the road network, and can monitor and dispatch the road network to effectively improve traffic capacity, simplify road management, and reduce traffic congestion. Air pollution, etc.

4. Diagnosis and treatment

At present, image computing methods and natural language understanding technology in vertical industries can basically meet the needs of the medical device industry, and the market is on the rise. Many technology service providers have emerged, such as Deshang Yunxing, which provides automated medical imaging technology, Zhihui Xinke, which develops virtual reality cell identification medical diagnostic instruments, Ruoshui Diagnostics, which provides automated auxiliary diagnosis service management platform, data analysis and Yitong Huanyu and others solve the digital drama of diagnosis and treatment. Although smart medical care has established important functions in auxiliary diagnosis and treatment, disease analysis, diagnosis and treatment image-assisted diagnosis, and drug design and planning, the cooperation between the company and the clinic center is not clear due to the fact that medical imaging data, electronic medical records, etc. are not retailed in each clinic center. Difficulties have led to discrepancies between technological transformation and the balance between digital supply and demand.

5. Education

Companies such as iFlytek and Yixue Education have long begun to explore the application of virtual reality technology in the field of education. Through image recognition, equipment can be used to mark test papers, identify and solve problems, etc.; through speech recognition, pronunciation can be corrected and improved; and human-computer interaction can be used to answer questions online, etc. The integration of AI and education can, to a certain extent, improve problems such as imbalanced distribution of teachers and high costs in the education and training industry, and provide teachers and students with more efficient teaching methods in terms of tools, but it cannot yet bring more practical effects to the teaching content. Dangers of sex.

6. Freight transportation

Logistics companies use automated search, problem planning, computer vision and service robots in transportation, warehousing, delivery and unloading and other steps. Intelligent reconstruction has been carried out on the Internet, and it can basically be maintained without anyone using it. For example, cloud computing is used to automate the delivery planning of goods, improve equipment and freight supply and demand balance, demand matching, freight resources, etc. At present, most of the human resources of logistics companies are located in the "Internet plus" delivery stage. Suning.com, Suning, and Lainiao are rushing to develop unmanned vehicles and unmanned aircraft in order to seize market opportunities.

7. Security

In recent years, China's surveillance and security manufacturing industry has undergone rapid transformation, and the total number of video surveillance continues to increase. The number of surveillance cameras installed in public and personal situations has already exceeded 100 million. Moreover, in some major cities, video surveillance has already maintained full coverage. However, from an overseas perspective, China's surveillance and security industry still has a lot of room for success.

Up to now, the transformation of the surveillance and security manufacturing industry has gone through four transformation stages, namely the analog monitor, digital surveillance, Internet ultra-clear, and video surveillance system eras. Every manufacturing transformation is due to technological innovations in computing methods, chips and components, and the resulting profit growth. Therefore, technological innovation and cost management in the upstream and downstream of industrial development have become important for upgrading the functions of security monitoring systems and increasing manufacturing output, and have also become an important basis for the green development of the manufacturing industry.

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