Topic ideas discussed in Virtual Reality Technology courses include levels of general knowledge representation, automated logic problems and retrieval methods, deep learning and general knowledge acquisition, general knowledge solution systems, natural language understanding, computer vision, service robotics, and automated programming and design . Virtual reality technology has a broad future, so far AI has become a business, change so far, here are 5 scenarios of 2019 artificial intelligence technology more common . Next, the gold investment editor will introduce the seven application areas of artificial intelligence?
Furniture
The key to intelligent home appliances is the application of scenarios cloud computing technology-based, according to intelligent products, system software, cloud computing platform to construct a complete set of detailed home furniture ecological chain. Customers can carry out remote operation of facilities, share data between facilities, carry out their own learning, etc., the overall improvement of the family environment safety factor, power saving, convenience, etc.. It is worth noting that in recent years, with the change in voice recognition technology, smart audio has become a flashpoint. Redmi, Taobao, Rokid and other companies competing to release their own smart audio, not only completed the opening of the home building materials market, but also for the future of a large number of intelligent home appliances to create the bad habits of customers. However, at this stage of the home building materials market smart home product types are complex, how to connect the connection between such goods fortress, create reliable smart home appliance business bad, is the next stage of the development of this manufacturing industry point.
Retail
Virtual reality technology in the retail field has been very common, unmanned convenience stores, intelligent logistics information systems, customer flow statistics, unmanned warehouse / unmanned vehicles, etc. are popular direction. Suning Tesco independently developed unmanned warehouse using a variety of automatic logistics robot collaboration and coordination, through virtual reality technology, deep neural networks, automatic image recognition, big data applications and other technologies, industrial robots can carry out independent identification and behavior, to carry out a variety of complex tasks Tupu science and technology will be the application of artificial intelligence to customer flow statistics, according to the role of face recognition customer flow statistics, the store can be from gender, Age, expression, new and old consumers, stay time and other levels to create store traffic customer images, for regulating business countermeasures to provide data basic, assisting the store management from pairing real to store traffic
Road network
Intelligent Transportation System is the substance of modular use of communication, news and control systems in the transportation system.ITS use the most common area is South Korea, followed by the United Kingdom, Europe and other regions. At this stage, the key to the use of China at the level of ITS is to collect and analyze the number of cars in the road network, running speed, monitoring and scheduling of the road network, rationally improve the capacity, simplify the road management, reduce air pollution and so on.
Diagnosis and treatment
At this stage, the vertical industry image computing methods and natural language understanding technology can be based on the consideration of the requirements of the medical device industry, the market appeared a lot of technology service providers. For example, the demonstration of automated medical imaging technology Deshaun Yunxing, the development of virtual reality technology for fine identification of medical diagnostics Zhi Hui Xinke, the demonstration of automated auxiliary diagnostic services management platform Ruoshui diagnostic treatment, data analysis and diagnostic number of dramas of the ETX Huanyu and so on. Intelligent medical care has established important effects in assisted diagnosis and treatment, disease classification and folding, diagnosis and treatment image assisted diagnosis and treatment, drug design and planning, etc., but there is a divergence between technological change and the balance of supply and demand of digital drama due to the non-retail of medical image data and electronic medical records among clinics, and non-transparency of the cooperation between the company and clinics.
Education
KU Communications, school education and other companies have begun to explore the application of virtual reality technology in the field of education. According to image recognition, you can carry out equipment review paper, problem solving and other voice recognition, you can correct, improve pronunciation of human-computer communication can be carried out to rewire the question and answer, etc. The integration of AI and education must be at the level of the level of improvement of the education and training industry, the imbalance in the teaching force, the cost of high problems, from the tool side to provide teachers and students with a more efficient way to educate, but not to the content of the education of the more practical harm.
Freight
Logistics companies use automatic retrieval, logical problem categorization, computer vision and its service robots and other technologies in the transportation, warehouse, unloading trucks and other steps have been carried out in an intelligent alteration, based on who can not be used. For example, the use of cloud computing for automatic distribution planning of goods to improve the configuration of goods supply and demand balance, requirements matching, cargo resources, etc. . At this stage, most of the talents of logistics companies are distributed in the distribution stage of the network plus, Suning Tesco, Suning, Lai Bird compete to develop unmanned vehicles, unmanned aircraft, seeking to occupy the market opportunities .
Security
In recent years, China's surveillance security manufacturing industry is changing rapidly, the total number of video surveillance continues to increase, the public and I scenario surveillance cameras set up the number of more than 100 million people. In addition, in some big cities, video surveillance has been completely covered. Only, in overseas, China's surveillance security industry still has a lot of talent space.
To date, the transformation of the surveillance security manufacturing industry has gone through four stages of change, namely, analog monitors, digital monitors, Internet ultra-definition and video surveillance system period. Each of these manufacturing transformations has been attributed to technological innovations in computing methods, integration ic and components, and the reduction in profitability they have driven. Therefore, the development of the industry upstream and downstream of technological innovation and cost management has become the role of security monitoring systems to upgrade the importance of the manufacturing industry to increase the value of production, but also become an important foundation for the green development of the manufacturing industry.