What are the other supporting technologies of artificial intelligence?

Other supporting technologies of artificial intelligence include Internet of Things, 5G and cloud computing.

From the perspective of the large technical composition system, artificial intelligence technology involves the Internet of Things, cloud computing, big data, edge computing and other content, among which the Internet of Things is the most important application scenario for smart people at present.

The construction of Internet of Things scenarios can fully promote the application of agents. At present, the Internet of Vehicles is regarded as an important breakthrough in the comprehensive application of agents, so many technology companies are currently laying out related fields (especially autonomous driving).

The development of artificial intelligence needs three supporting factors: data, computing power and algorithm. Cloud computing provides computing power support (also one of the landing scenarios), and big data provides data sources. With the development of big data and cloud computing, it will also greatly promote the development of artificial intelligence.

From the research direction, the current research directions in the field of artificial intelligence include machine learning, natural language processing, knowledge representation, automatic reasoning, computer vision and robotics. At present, in addition to machine learning (deep learning), natural language processing and computer vision are also popular.

Artificial intelligence is an important part of intelligence. It tries to understand the essence of intelligence and produces a new intelligent machine that can respond in a way similar to human intelligence. The research in this field includes robot, language recognition, image recognition, natural language processing and expert system.

Application fields of artificial intelligence:

1. intelligent manufacturing: artificial intelligence will play an important role in the field of industrial manufacturing, which can realize automation and intelligence of production process, improve efficiency, reduce cost and realize personalized customized production.

2. Intelligent transportation: Artificial intelligence will help us realize more intelligent traffic management, including traffic flow control, traffic prediction, automatic driving and other fields, and improve traffic efficiency and safety.

3. Medical care: The application of artificial intelligence in the medical field will make diagnosis and treatment more accurate and efficient, such as helping doctors to better screen and diagnose tumors through image recognition technology.

4. Education: Artificial intelligence can provide students with a more personalized and customized learning experience, and can independently design and recommend learning content according to students' interests and abilities.

5. Social services: Artificial intelligence will have a far-reaching impact on public services, such as smart cities, smart environmental protection, and smart government affairs, which can help the government provide services more efficiently.