What is Smart Technology? What are the differences between intelligent science and technology and ar

Artificial intelligence is computer science.

It attempts to understand the essence of intelligence and produce a new kind of intelligent machine that can react in a similar way to human intelligence, and research in this field includes robotics, language recognition, image recognition, and natural language processing.

and expert systems, among others.

Since the birth of artificial intelligence, the theory and technology have become increasingly mature, and the application field has been expanding. Artificial intelligence can simulate the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but it can think like a human being, and may surpass human intelligence.

Artificial intelligence is an extremely challenging science, and those who do it must be computer literate, psychological, and philosophical. Artificial intelligence is a very broad science, which consists of different fields, such as machine learning, computer vision.

In general, one of the main goals of AI research is to enable machines to do complex tasks that would normally require human intelligence to complete.

But different times and different people have different understandings of this "complex work". In December 2017, artificial intelligence was selected as one of the "Top Ten Popular Words in China in 2017".

The scope of intelligent technology is very wide, generally speaking, it can be said that it is now smart furniture, intelligent applications, etc., which can facilitate people's daily life, or quite meaningful.

Artificial intelligence, also known as AI, is a new science and technology that researches and develops theories, methods, technologies and applications for simulating, extending and expanding human intelligence.

Artificial intelligence is a branch of computer science that seeks to understand the essence of intelligence, including robotics, language recognition, image recognition, natural language processing, and expert systems.

Artificial intelligence is a very challenging science, which includes a very wide range of sciences and is also composed of different fields, such as computer vision, intelligent learning, etc.

Artificial intelligence is the study of enabling robots to simulate certain human thinking processes and intelligent behaviors, and makes computers similar to human brain intelligence, so that computers can achieve higher-level applications.

Intelligent science and technology is now a university major, its coverage is very wide, the major involves robotics, based on a new generation of network computing, is closely related to industrial production and daily production and life of all kinds of intelligent technology and systems.

Intelligent science and technology is the core content of automation engineering, mechanical and electrical engineering, computer engineering and other disciplines, and it is very engineering and practical. It is designed by the unit of optical, electrical and mechanical systems, and integrates the theory, technology, and methods of engineering implementation, and carries out information processing, transmission, processing, optimization, control, organization and other operations for cutting-edge high-tech.

Artificial intelligence is a new technology science that researches and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Research in the field of artificial intelligence includes robotics, language recognition, image recognition, natural language processing, and expert systems, among others.

Artificial Intelligence (AI) in English. It is a new technological science that researches and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence.

Artificial intelligence is a branch of computer science, which attempts to understand the essence of intelligence and can produce a new intelligent machine that can respond in a similar way to human intelligence, and the research in this field mainly includes robots, language recognition, image recognition, natural language processing and expert systems.

Since the birth of artificial intelligence, the theory and technology have become more and more mature, and the application field is constantly expanding. Artificial intelligence can simulate the information process of human consciousness and thinking. Although AI is not human intelligence, it can think like a human and may eventually surpass human intelligence.

Advantages: 1. In terms of production, more efficient and low-cost machines and artificial intelligence entities replace various human abilities, and human labor will be greatly liberated.

2. The problems of the human environment will be improved to a certain extent, and fewer resources can meet greater needs.

3. Artificial intelligence can improve the ability of human beings to understand and adapt to the world.

Disadvantages: 1. Artificial intelligence replaces human beings to do all kinds of things, and the unemployment rate of human beings will increase significantly, and human beings will be in a state of helplessness to survive.

2. If artificial intelligence cannot be used rationally, it may be used by bad people to commit crimes, and then human beings will fall into panic.

3. If we can't control and use artificial intelligence well, we will be controlled and used by artificial intelligence, then human beings will perish and the world will become panicked.

1. Computer vision

People know the world, 91% of it is through vision. Similarly, the ultimate goal of computer vision is to enable computers to recognize and understand the world through vision like people, it is mainly through algorithms to recognize and analyze images, and the most widely used applications of computer vision are face recognition and image recognition. Related technologies include image classification, object tracking, and semantic segmentation.

2. Machine learning

The basic idea of machine learning is that an algorithm that learns data from a computer to improve its own performance. The 4 most important types of problems that need to be solved in machine learning are clustering, classification, and dimensionality reduction. Machine learning can be classified according to learning methods, which can be divided into:

Supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning.

3. Natural language processing

Natural language processing (NLP) [30] refers to the ability of computers to recognize and understand human textual language, which is an interdisciplinary discipline between computer science and human linguistics. Natural language is the biggest difference between humans and animals, and human thinking is based on language, so natural language processing represents the ultimate goal of artificial intelligence. Natural language processing is essential for machines to be truly intelligent.

Natural language processing is divided into seven directions: semantic analysis, information extraction, text mining, information retrieval, machine translation, question answering system and dialogue system. There are five main types of natural language processing techniques, namely classification, matching, translation, structure, and sequence decision-making process.

4. Speech recognition

Nowadays, the use of machines by human beings has reached a very high state, so people have also relied on the convenience of machine use. The way in which language dominates the machine is a very convenient form. Speech recognition technology is the process of converting human speech input into a language that can be understood by a machine, or into natural language.