What are the aspects of artificial intelligence technology?

Artificial intelligence technology includes: 1. Core technology sector; 2. Intelligent terminal sector; 3. Smart education sector; 4. Intelligent robot sector; 5. Smart city and Internet of Things sector; 6. Smart medical sector; 7. Intelligent manufacturing sector; 8. Smart car sector; 9. Smart life sector.

The purpose of artificial intelligence is to empower hundreds of industries. Although artificial intelligence technology is relatively mature and has been applied in various fields, it has not yet Disruptive theoretical and technological breakthroughs can occur. From a rational perspective, artificial intelligence is likely to enter a relatively peaceful development period. So what aspects does artificial intelligence include and what are its technology types? Let’s take a look with the editor.

What aspects does artificial intelligence include?

1. Core technology sectors (AI chips, IC, computer vision, machine learning, natural language processing, robotics, biometric technology , face recognition technology, speech recognition, big data processing, etc.)

2. Intelligent terminal sector (VR/AR, artificial intelligence service platform, home intelligent terminal, 3G/4G intelligent terminal, financial intelligent terminal, mobile Intelligent terminals, intelligent terminal software, intelligent hardware, software development platforms, application systems, etc.)

3. Smart education sector (educational robots, smart education systems, smart schools, artificial intelligence training, etc.)

4. Intelligent robot sector (service robots, agricultural robots, entertainment robots, disaster relief robots, medical robots, space robots, underwater robots, special robots, etc.)

5. Smart city and Internet of Things sector (wisdom Transportation, smart grid, government big data application, public safety, smart energy application, smart community, smart urban construction, smart building, smart home, smart agriculture, smart tourism, smart office, smart entertainment, smart logistics, smart health security, smart housing services, smart cultural services, etc.)

#6. Smart medical sector (medical imaging artificial intelligence, intelligent auxiliary diagnosis reminder/clinical decision-making diagnostic system, surgical robot, medical service robot, medical voice recognition input, mixed reality technology Medical big data platform, data analysis system (BI), precision medicine, etc.)

7, intelligent manufacturing sector (intelligent production lines, industrial robots, industrial Internet of Things, industrial accessories, etc.)

8 , Smart car sector (automotive electronics, Internet of Vehicles, autonomous driving, unmanned driving technology, lidar, vehicle manufacturers, etc.)

9. Smart life sector (future life model, smart living home, smart home appliances, 3C electronics, smart wearables, etc.)

Types of artificial intelligence technology

1. Computer vision

Computer vision refers to using cameras and computers to replace the human eye The target is identified, tracked and measured, and further image processing is performed to make the computer process an image more suitable for human eye observation or to be transmitted to the instrument for detection. At present, computer vision is mainly used in security cameras, traffic cameras, unmanned driving, drones, finance, medical care, etc.

2. Speech recognition

Speech recognition technology is a high-tech technology that allows machines to convert speech signals into corresponding texts or commands through the process of recognition and understanding. Speech recognition is the basis of human-computer interaction and mainly solves the problem of making machines understand what people say clearly. The most successful implementation of artificial intelligence at present is speech recognition technology. Speech recognition is currently mainly used in Internet of Vehicles, intelligent translation, smart homes, and autonomous driving.

3. Natural language processing

Natural language processing generally includes two parts: natural language understanding and natural language generation. Realizing natural language communication between humans and machines means that the computer must be able to understand both natural language and natural language. The meaning of language text can also be used to express given intentions, thoughts, etc. in natural language text. The former is called natural language understanding, and the latter is called natural language generation.

4. Machine learning

Machine learning is to give machines the ability to learn like humans. It specializes in studying how computers can simulate or implement human learning behavior to acquire new knowledge or skills and reorganize The existing knowledge structure enables it to continuously improve its own performance, which is the core of artificial intelligence.

5. Big data

Big data, or huge amounts of data, refers to information that requires a new processing model to have stronger decision-making power, insight and process optimization capabilities. Massive, high-growth and diversified information assets. In other words, the ability to quickly obtain valuable information from various types of data is big data technology. Big data is the basis for the upgrade and evolution of AI intelligence. With big data, AI can continuously conduct simulation exercises and move closer to true artificial intelligence.

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