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This article will explain in detail what the classification of artificial intelligence is, and the editor thinks it is very practical, so I share it for you as a reference. I hope you can get something after reading this article.

The classification of artificial intelligence includes cognitive AI, machine learning AI and deep learning. Artificial intelligence is a new technical science that studies and develops theories, methods, technologies and application systems used to simulate, extend and expand human intelligence.

Artificial intelligence (Artificial Intelligence), abbreviated as AI. It is a new technical science that studies and develops theories, methods, technologies and application systems used to simulate, extend and expand human intelligence.

I. Cognitive AI (cognitive AI)

Cognitive computing is the most popular branch of artificial intelligence, which is responsible for all human-like interactions. Cognitive AI must be able to deal with complexity and ambiguity easily, while constantly learning from the experience of data mining, NLP (natural language processing), and intelligent automation.

Now there is a growing tendency to think that cognitive AI combines the best decisions made by artificial intelligence with the decisions of human workers to monitor more difficult or uncertain events. This can help expand the applicability of artificial intelligence and generate faster and more reliable answers.

2. Machine learning AI (Machine Learning AI)

Machine learning (ML) AI is the kind of artificial intelligence that can autopilot your Tesla on the highway. It is still at the forefront of computer science, but it is expected to have a great impact on the daily workplace in the future. Machine learning is to find some "patterns" in big data, and then use these patterns to predict the results without too many artificial explanations, which can not be seen in ordinary statistical analysis.

Third, deep learning (Deep Learning)

If machine learning is cutting edge, then deep learning is cutting edge. This is the kind of AI that you would send it to take part in a quiz. It combines big data with the analysis of unsupervised algorithms. Its applications usually revolve around large untagged data sets that need to be structured into interconnected clusters. The inspiration for deep learning comes entirely from the neural network in our brain, so it can be appropriately called artificial neural network.

Deep learning is the basis of many modern speech and image recognition methods, and compared with the previous non-learning methods, it has higher accuracy with the passage of time.

It is hoped that in the future, Deep Learning AI can independently answer customer inquiries and complete orders through chat or email. Or they can help with marketing on proposed new products and specifications based on their huge data pool. Or maybe one day they can become omni-directional assistants in the workplace, completely blurring the line between robots and humans.

This is the end of this article on "what are the categories of artificial intelligence". I hope the above content can be of some help to you, so that you can learn more knowledge. if you think the article is good, please share it for more people to see.

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