The main contents of artificial intelligence research include: knowledge representation, automatic reasoning and search methods, machine learning and knowledge acquisition, knowledge processing system, natural language understanding, computer vision, intelligent robots, automatic programming and so on.

Artificial intelligence has a bright future. Recently, "AI+" has become a company. Up to now, the following are the most widely used scenarios of 20 19 artificial intelligence.

home

Smart home is mainly based on the Internet of Things technology, and constitutes a complete smart home ecosystem through intelligent hardware, software systems and cloud computing platforms. Users can remotely control equipment, and the equipment can be interconnected and learn independently, thus optimizing the safety, energy saving and convenience of the home environment as a whole. It is worth mentioning that in the past two years, with the development of intelligent voice technology, smart speakers have become an explosion point.

Xiaomi, Tmall, Rokid and other companies have launched their own smart speakers, which not only successfully opened the home market, but also cultivated user habits for more smart home appliances in the future. However, there are many kinds of smart products in the home market. How to break through the communication barriers between these products and establish a safe and reliable smart home service environment is the next development direction of the industry.

retail

Artificial intelligence has been widely used in the retail field, such as unmanned convenience stores, intelligent supply chains, passenger flow statistics, unmanned warehouses/unmanned vehicles, etc. They are all hot directions. The unmanned warehouse independently developed by JD.COM adopts a large number of intelligent logistics robots to cooperate. Through artificial intelligence, deep learning, intelligent image recognition, big data application and other technologies, industrial robots can make their own judgments and behaviors, complete various complex tasks, and realize the automation of commodity sorting, transportation and warehousing.

Tupu Technology applies artificial intelligence technology to passenger flow statistics. Through the passenger flow statistics function of face recognition, stores can establish passenger flow portraits from the dimensions of gender, age, expression, new and old customers, and length of stay, which provides data basis for adjusting operation strategies and helps store operations improve the conversion rate from matching reality to store passenger flow.

traffic

Intelligent transportation system is the product of comprehensive application of communication, information and control technology in intelligent transportation system. ITS is widely used in Japan, followed by the United States and Europe. At present, ITS application in China is mainly through the collection and analysis of traffic volume and speed, which can monitor and dispatch traffic, effectively improve traffic capacity, simplify traffic management and reduce environmental pollution.

medical treatment

At present, the vertical image algorithm and natural language processing technology have basically met the needs of the medical industry, and many technical service providers have appeared in the market, such as Suntech Cloud, which provides intelligent medical imaging technology, Zhiweixin Branch, which develops artificial intelligence cell recognition medical diagnosis system, Ruoshui Medical, which provides intelligent auxiliary diagnosis service platform, and facilitates the acquisition of statistics and processing of medical data. Although intelligent medical care plays an important role in auxiliary diagnosis and treatment, disease prediction, medical image-assisted diagnosis, drug research and development, etc. Due to the non-circulation of medical image data and electronic medical records between hospitals, there is a contradiction between technology development and data supply, which leads to opaque cooperation between enterprises and hospitals.

education

Enterprises such as Iflytek and Chuxue Education have already begun to explore the application of artificial intelligence in the field of education. Through image recognition, the machine can correct test papers and answer questions. Pronunciation can be corrected and improved through speech recognition; Man-machine interaction can answer questions online. The combination of AI and education can improve the unbalanced distribution and high cost of teachers in the education industry to a certain extent, and provide more efficient learning methods for teachers and students from the tool level, but it cannot have a more substantial impact on the educational content.

logistics

By using intelligent search, reasoning planning, computer vision, intelligent robots and other technologies, the logistics industry has automatically transformed the processes of transportation, warehousing, distribution, loading and unloading, and basically realized unmanned operation. For example, using big data to plan the intelligent distribution of goods, optimize logistics supply, demand matching and the allocation of logistics resources. At present, most of the manpower in the logistics industry is distributed in the "last mile" distribution link, and JD.COM, Suning and Cainiao are scrambling to develop unmanned vehicles and drones to seize market opportunities.

security

In recent years, China's security monitoring industry has developed rapidly, and the number of video surveillance has been increasing. The total number of cameras installed in public and private scenes has exceeded 654.38+75 billion. Moreover, in some first-tier cities, video surveillance has achieved full coverage. However, compared with foreign countries, there is still a lot of room for growth in the field of security monitoring in China.

So far, the development of security monitoring industry has gone through four stages: analog monitoring, digital monitoring, high-definition network and intelligent monitoring. Every industry change benefits from the technological innovation of algorithms, chips and components, and the resulting cost reduction. Therefore, the technological innovation and cost control in the upstream of the industrial chain have become the key to improve the function of the security monitoring system and increase the industrial scale, and also become an important foundation for the sustainable development of the industry.