What are the main driving forces for the development of artificial intelligence?

The main driving forces for the development of artificial intelligence include technology, algorithms, data and scenarios. Artificial intelligence is a branch of computer science. Research in this field includes robotics, language recognition, image recognition, natural language processing and expert systems.

#The operating environment of this article: windows10 system, thinkpad t480 computer.

Artificial Intelligence (Artificial Intelligence), the English abbreviation is AI. It is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence.

Artificial intelligence is a branch of computer science that attempts to understand the nature of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robots, Language recognition, image recognition, natural language processing and expert systems, etc.

Since the birth of artificial intelligence, the theory and technology have become increasingly mature, and the application fields have also continued to expand. It can be imagined that the technological products brought by artificial intelligence in the future will be the "containers" of human wisdom. Artificial intelligence can simulate the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but it can think like humans and may even exceed human intelligence.

Artificial intelligence is a very challenging science, and people engaged in this work must understand computer knowledge, psychology and philosophy. Artificial intelligence is a very broad science, which consists of different fields, such as machine learning, computer vision, etc. Generally speaking, a main goal of artificial intelligence research is to enable machines to perform tasks that usually require human intelligence. Complex work. But different times and different people have different understandings of this "complex work".

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