Understand in seconds! Artificial Intelligence VS Machine Learning

Artificial intelligence and machine learning are relatively hot concepts that are hyped up today. Although scientific research has been gradually applied in life, most people only know this term, and they are still confused about the concept.

Xinrui Cloud GPU server is a good helper for machine learning. This time we will analyze these two concepts in a "simple and easy-to-understand" manner.

One, artificial intelligence

Artificial intelligence is a branch separated from the field of computer science in the 1950s.

aims:

1. Study human intelligence through computer simulation

2. Solve the complex problems that the human brain can handle but the computer cannot handle at that time

The final realization: the processing of complex problems in scenarios such as perception, reasoning, memory, speech, and sports.

 

Did artificial intelligence begin to develop gradually in the 1980s? It was the era of "symbolic" AI. Each symbol in the computer represents something in the real world, and the final result is deduced through a written fixed program.

Although artificial intelligence AI was extremely popular, it did not achieve its ultimate goal. The application of various scenarios required "manual" maintenance. Machines, systems, and programs also require high costs. Since a lot of manual maintenance is required, why not use people?

Second, machine learning

Machine learning is part of artificial intelligence.

In the last century, the AI ​​boom has slowed down, and the funds gathered have gradually decreased. At this time, the first generation of "symbolic" artificial intelligence came to an end.

At this time, artificial intelligence was in its second spring and suddenly found its own suitable field, that is, information retrieval .

This is also the second generation of artificial intelligence that introduces machine learning.

At present, we are still using it. Baidu is a good example (there were no Baijia accounts, bear paw accounts, and various advertisements in the past), and it is a relatively good information retrieval tool.

The so-called "click on Baidu, you will know" presumably all the friends should know.

 

"Machine learning" as the name implies, machines can continuously expand their abilities through data training, reaching or even surpassing expert level in one aspect.

Ke Jie, the world's No. 1 Go player, was defeated in three rounds with the robot "Alpha Dog" in Wuzhen, Zhenjiang, without the ability to fight back.

 

The report of "Southern Weekend" mentioned that when Alpha Dog played against Fan Hui, the number of "eaten" chess records was 30 million, but by the time he challenged the world chess champion Li Shishi, the number of chess records chewed into his stomach reached 1. Billion.

This is the application of "machine learning", which makes AI, which is somewhat mentally handicapped, full of infinite possibilities.

In the face of massive data retrieval, humans are indeed not AI opponents.

But at this time AI is not invincible, he is also full of many shortcomings.

 

However, the current second-generation machine learning artificial intelligence is far from being able to replace humans. However, it is much easier to deploy machine learning now. A lot of calculations can be deployed using Xin Ruiyun GPU servers.

Far from having to invest a lot of costs earlier, the new Ruiyun GPU server is now on sale! You can learn more about the activity center of Xinruiyun!

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Origin blog.csdn.net/bingbob/article/details/107947746