The main content of the study of artificial intelligence discipline includes: knowledge representation, automatic reasoning and search methods, machine learning and knowledge acquisition, knowledge processing systems, natural language understanding, computer vision, intelligent robotics, automatic programming and other aspects.
Artificial intelligence has a broad prospect, a few days ago, "AI +" has become a company, the development so far, the following is the 2019 artificial intelligence application of the most widely used several major scenes.
Home
Smart home is mainly based on Internet of Things technology, through intelligent hardware, software systems, cloud computing platforms constitute a complete set of smart home ecosystem. Users can remotely control the equipment, equipment can be interconnected, and self-learning, etc., to optimize the overall security of the home environment, energy saving, convenience and so on. It is worth mentioning that in the past two years, with the development of intelligent voice technology, smart speakers have become an outbreak point.
Millet, Tmall, Rokid and other companies have launched their own smart speakers, not only to successfully open the home market, but also for the future of more smart home appliances to cultivate user habits. However, the current home market smart product variety is complicated, how to open the communication barriers between these products, as well as the establishment of a safe and reliable smart home service environment, is the next step in the industry's power point.
Retail
The application of artificial intelligence in the retail field has been very extensive, unmanned convenience stores, intelligent supply chain, customer flow statistics, unmanned warehouse/unmanned vehicle and so on are popular directions. Jingdong's self-developed unmanned warehouse uses a large number of intelligent logistics robots to collaborate and cooperate, and through artificial intelligence, deep learning, image intelligent recognition, big data applications and other technologies, industrial robots can make autonomous judgments and behaviors to complete a variety of complex tasks, and automation in the sorting of commodities, transportation, and out of the warehouse.
Tupo Technology, on the other hand, applies artificial intelligence technology to customer flow statistics. Through the face recognition customer flow statistics function, stores can establish a user portrait of the customer flow to the store from the dimensions of gender, age, expression, new and old customers, and length of stay, providing a data basis for adjusting the operation strategy, and helping store operations to improve the conversion rate from the perspective of matching the real customer flow to the store.
Transportation
Intelligent Transportation System (ITS) is a product of the integrated application of communication, information and control technologies in intelligent transportation systems.ITS is most widely used in Japan, followed by the United States, Europe and other regions. At present, China's application of ITS is mainly through the traffic in the vehicle flow, traffic speed collection and analysis, you can monitor the implementation of traffic and scheduling, effectively improve accessibility, simplify traffic management, reduce environmental pollution.
Medical
At present, image algorithms and natural language processing technology in the vertical field have basically met the needs of the medical industry, and many technical service providers have appeared in the market, such as Deshaun Rhynexing, which provides intelligent medical imaging technology, ChiWeiXinXin, which develops an artificial intelligence cell recognition medical diagnostic system, Wakushui Medical, which provides an intelligent auxiliary diagnostic service platform, and E-TongTianXi, which provides statistics and processing of medical data. data processing, etc. Although intelligent medical care plays an important role in assisted diagnosis and treatment, disease prediction, medical image-assisted diagnosis, drug development, etc., the lack of circulation of medical image data, electronic medical records, etc. between hospitals has led to problems such as opaque cooperation between companies and hospitals, which has led to a contradiction between the development of technology and the supply of data.
Education
Kodak Xunfei, mow education and other enterprises have long begun to explore the application of artificial intelligence in the field of education. Through image recognition, it can be used for machine correction of test papers, test answers, etc.; through voice recognition, it can correct and improve pronunciation; and human-computer interaction can be used for online Q&A, etc. The combination of AI and education can, to a certain extent, improve the problems of unbalanced distribution of teachers in the education industry and high costs, and provide teachers and students with a more efficient way of learning at the tool level, but it can't yet have a more The main reason for this is that it is not possible to make a substantial impact on the content of the education.
Logistics
The logistics industry has automated transportation, warehousing, distribution, loading and unloading processes by using intelligent search, inference planning, computer vision, and intelligent robots, which can basically realize unmanned operation. For example, the use of big data for intelligent distribution planning of goods, optimize the allocation of logistics supply, demand matching, logistics resources. At present, most of the manpower in the logistics industry is distributed in the "last kilometer" of the distribution chain, Jingdong, Suning, and Cainiao are competing to be the first to develop unmanned vehicles, drones, and strive to seize market opportunities.
Security
In recent years, China's security monitoring industry has developed rapidly, the number of video surveillance continues to grow, the total number of surveillance cameras installed in the public **** and personal scene has exceeded 175 million. Moreover, in some first-tier cities, video surveillance has achieved full coverage. However, relative to foreign countries, China'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 stages of development, respectively, analog monitoring, digital monitoring, network high-definition, intelligent monitoring era. Each time the industry changes, thanks to the algorithms, chips and components of technological innovation, as well as the resulting cost reduction. As a result, the upstream of the industrial chain of technological innovation and cost control has become the key to upgrade the function of the security monitoring system, the growth of the industry scale, and become an important basis for sustainable development of the industry.