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Advances in Artificial Intelligence

  • Author:James
  • Source:
  • Release Date:2016-12-05

The era of artificial intelligence has come, but it can take decades to create a system that can be used to solve a variety of problems.

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Artificial Intelligence (Artificial Intelligence), abbreviated as AI. It is a new technology science that researches and develops the theory, method, technology and application system for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science, which attempts to understand the essence of intelligence and produce a new kind of human intelligence can be a similar way to respond to intelligent machines, research in the field of robotics, speech recognition, image recognition, Natural language processing and expert systems. Since the birth of artificial intelligence, theory and technology has become more mature, the application field is also expanding, it can be envisaged that the future of artificial intelligence technology products, will be human wisdom "container."

Artificial intelligence (AI) prospects are very large, the large-scale technology companies have increased investment in scientific research. AI is entering our daily lives, such as voice recognition in smart devices, Facebook and Google account image recognition.

Alphabet Inc., the parent company of Google, has partnered with companies such as Amazon and Microsoft to lease some of their intellectual results to other companies. Want your app app or gadget to respond to voice commands and use your own "voice" to answer questions? These services can be done. Need to transcribe conversations for analysis? This new type of service can do this, as well as many other things, from facial recognition to recognition of images in content, all-encompassing.


Ms. Barça led a team at EnerNOC to use machine - learning, in - depth learning and other artificial intelligence techniques to convert large amounts of data into computer programs to "train" them. But the company found that customers are more interested in the analysis, rather than complex artificial intelligence-driven algorithm can provide incremental value.

Artificial intelligence needs three things, but most companies can not meet the demand. First, ample data, such as Facebook, Amazon, Alphabet, General Electric and other companies are collecting a lot of data, but this situation is rare. The second problem is that a small difference can justify the value of creating an artificial intelligence system. If an artificial intelligence system can increase the fraud detection rate of credit card companies by 1%, it may be worth tens of millions of dollars. However, for a mid-size manufacturer producing different products, a 1% increase in productivity on a particular line may not be as cost-effective as hiring six high-paying engineers. The third is: the lack of personnel to establish the system. Artificial intelligence talent struggle is to promote the cost of rising. Perhaps the world's only 5,000 people can create a machine to help people save money learning system, the premise is to increase investment.

There are indications that the concept of artificial intelligence has been fired too far. Using artificial intelligence to create a system that can be used to solve a variety of problems, rather than just as it is now, it will take only a few decades to put it into a narrow area of ​​application. The system must be manufactured and trained, just like educating children, and this is the work of years.

Most of the AI ​​devices available today are "pre-trained" systems built by large companies such as Google, Amazon and Microsoft, which reflect the data of these companies. The company has billions of images that can provide business image recognition services to others. Amazon Alexa personal assistant editor of a large number of spoken English, therefore, for others to provide processing spoken and reply to the dialogue service. In this case,

So far, the artificial intelligence of the Zang can not be dismissed with the science fiction version of the machine ruled the world par. Today's artificial intelligence is only the equivalent of the evolutionary stage of biological intelligence jellyfish. The future of the real brain and even true intelligence is still out of reach, far beyond any reasonable prediction range.