When the group received the invitation letter from the group to release Deep Matrix, China's first industry AI decision system product. The brain hole is wide open. Wow, AI decision? Is artificial intelligence able to start to judge itself to make decisions?
When the group received the invitation letter from the group to release Deep Matrix, China's first industry AI decision system product. The brain hole is wide open. Wow, AI decision? Is artificial intelligence able to start to judge itself to make decisions? One day, would you think that the "human" creature is too bad, and you don't need "people" to make decisions in the future? With this excitement, I participated in a new product launch.
After listening carefully, I found that the future is really possible.
To Top Network reporters first shared the points of the group chairman and CEO Dr. Su Meng, including the percentage of Group Technology Vice President and Chief Architect Liu Yizhen conveyed several layers of information.
First, big data and artificial intelligence have allowed companies to evolve from labor-intensive, capital-intensive to data-intensive, smart-intensive new species companies. Enterprises are evolving, and all human decisions will inevitably depend on machine intelligence.
Second, it is possible to search the real world. One point of view is to create a system that can analyze the real world. In the past, the search engine could only search for text, pictures, etc. In the future, through the collector, the real object projection can be directly searched.
Third, artificial intelligence has begun a shift from execution to decision making. It was what you asked him to do before. Now it will decide what to do on its own.
So what is the evolution of AI in the future? The AI ​​we talked about today is mainly to improve the perception and cognitive ability of the data. Information perception can be achieved through Internet of Things technology, machine vision, and speech recognition. After that, Google published a paper on knowledge maps, which realized the knowledge of information through natural speech processing technology, knowledge mapping technology and logical reasoning. So if AI stays at the level of perception and cognition, is it still short of defects? So what is the meaning of the word "intelligence" in artificial intelligence? When AI can realize that it can solve problems, is it the embodiment of "intelligence"? The percentage point is that the core for AI to solve the problem is to first let AI have the ability to make decisions.
It is "smart decision making." Because there is no definition of "smart decision-making" at present, the entire scientific team has defined this. "Intelligent decision-making" means "self-identification, judgment, and reasoning of complex problems based on dynamic and multi-dimensional information collection. And make a forward-looking and real-time decision-making process with the ability to self-optimize and adapt."
For this definition, I think it is more powerful than "people." If I remember correctly, in the speech, Dr. Su Meng, Chairman and CEO of the Percentage Group, said that the release of the AI ​​decision-making system is a small step taken by the company. If you can make your own decisions for AI, then this small step can be significant.
So where is the AI ​​decision? AI makes decisions, what do people do? When I threw the initial question to Liu Yiwei, vice president of technology and chief architect of the group, his answer was this.
The first is the era of human-computer symbiosis. What humans are doing now is to evaluate one thing and determine a goal. Set goals, make assumptions, etc. What AI does is information gathering, scenario generation, problem identification, and result prediction.
If the decisions are divided into three categories, strategic level, tactical level, and operational level, what humans do is a typical strategic level. For example, China is the country with the most car ownership. There is a car defect product management center in the State Administration of Quality Supervision. It is responsible for deciding which car should be destroyed. This is a very difficult decision. This process of thinking is a strategic issue that humans consider. AI decision-making is fully automated at the tactical and operational levels, such as intelligent decision-making. Through a large amount of data collection, through machine and intelligent knowledge mapping system, learn how experts determine the defects of a car product in the past few decades. Seriously not serious, should the state initiate a recall investigation of it, and continue to learn, combine the knowledge in the human brain with the data acquired by the wider computer, and combine the knowledge and decision-making experience of these experts.
The advantage is that it is necessary to call together the past meetings of these experts to discuss the system. It takes two to three days to use the human brain to evaluate all the information. Its effectiveness is very low. Today, through AI decision-making, you can always do one. The intelligent recall judgment takes only two hours, from two hundred hours to two hours. And it can be done from the previous 15 people to 1 person + machine now. This is the AI ​​decision.
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