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The artificial intelligence AI has come, what is the meaning of it
The artificial intelligence AI has come, what is the meaning of it
The history of computer is often told from the perspective of physical history, first the abacus, then the Babbag differential, and then to the World War II cryptanalysis machine. In fact, it will be better to understand it as an idea history. Those ideas are mainly generated from mathematical logic. This is a discipline that was formed in the nineteenth Century, obscure and cult alike. A pioneer of mathematical logic is a philosopher and mathematician of the dual roles, which is the most famous George Boole (George Bull) and Gottlob Frege (Gottlieb Frege), and they have Leibniz general concept of "language" of this dream and Aristotle inspired ancient logic system.
Dixon then introduced the invention of Boolean logic (there are only two values: true and false, corresponding to 1 and 0 respectively), and Shannon found that these two variables can be represented by circuits, and the circuit itself has only two states: opening and closing. Dixon wrote:
Shannon's achievements can also be described in another way, that is, he is the first person to distinguish between the logic layer and the physical layer of the computer. This distinction is so important for computer science that it is difficult for today's readers to understand its deep insight at that time -- which can remind people of the motto that "last first Century's philosophy is the common sense of next first Century".
The statement of Dixon is actually relatively restrained: this distinction may be obvious for computer scientists, but it is just a clear description of the distinction that lays a solid foundation for Dixon's extraordinary article. "Computer" as a popular concept is obviously not invented by Aristotle, but he created a way to make computers play a role (or, more precisely, to keep humans going along this path).
In addition, you can also conclude Shannon's insight from the opposite direction: the distinction between logical and physical level depends on them, which can be realized as the two parts of the whole. That is to say, Shannon has discovered how to integrate logic and physics into what is now known as a computer.
For this reason, the remarkable improvement of circuit physical design (first is the invention of transistor, followed by the application of Moore's law), of course, means that the speed of logic application is significantly improved. Or, in human words, the computer thinks about the speed of the rise.
AI 50 years
Not long ago, Steve Mnuchin, the US Treasury Secretary, "lightly ruled out that AI and machine learning will soon replace a lot of manpower", saying, "this has not even appeared on our radar screen yet, because it's a problem after 50 or 100 years".
Most of the technology community is surprised: are those seemingly endless AI plans and Mnuchin on TC not read?
But again, Mnuchin's view may be more reasonable than what you think. Just look at Maureen Dowd's "the Crusade" launched by the famous vanity retreat in the face of artificial intelligence apocalypse.
In 50 years, the 18 months we are now in for the future of the AI community will be seen as a critical period. The AI community has finally awakened and began to think seriously about how to make the future better.
50 years: this time window is the same as Mnuchin; maybe he is worried about the same problem as Elon Musk. But frankly, should the finance minister himself be concerned about this kind of problem?
The problem is obvious: This is obviously not the meaning of "artificial intelligence".
The definition of artificial intelligence
The definition of artificial intelligence is very difficult, there are several reasons. First of all, there are two types of AI: the artificial intelligence described in the name of "vanity and retreat" is general AI, that is to say, computers can do anything that human beings can do. On the contrary, it is Artificial Narrow Intelligence, which can do what human can do, but it is limited to a certain range. For example, some special AI can play chess, while another special AI can go to go.
Interestingly, John McCarthy, which invented the word "artificial intelligence", points out that the definition of special AI is also keeping pace with the times. Especially once used to be considered artificial things become routine -- such as the above mentioned chess or chess program, or countless are said to belong to the computer behoove capability, which we are no longer called artificial intelligence.
This makes you want to say where it is a special difficulty for the end of the computer and the beginning of the artificial intelligence. After all, in the past, accounting was handled manually.
In less than 10 years, the above picture became obsolete and replaced by a IBM mainframe. The computer is doing what human can do, though
Dixon then introduced the invention of Boolean logic (there are only two values: true and false, corresponding to 1 and 0 respectively), and Shannon found that these two variables can be represented by circuits, and the circuit itself has only two states: opening and closing. Dixon wrote:
Shannon's achievements can also be described in another way, that is, he is the first person to distinguish between the logic layer and the physical layer of the computer. This distinction is so important for computer science that it is difficult for today's readers to understand its deep insight at that time -- which can remind people of the motto that "last first Century's philosophy is the common sense of next first Century".
The statement of Dixon is actually relatively restrained: this distinction may be obvious for computer scientists, but it is just a clear description of the distinction that lays a solid foundation for Dixon's extraordinary article. "Computer" as a popular concept is obviously not invented by Aristotle, but he created a way to make computers play a role (or, more precisely, to keep humans going along this path).
In addition, you can also conclude Shannon's insight from the opposite direction: the distinction between logical and physical level depends on them, which can be realized as the two parts of the whole. That is to say, Shannon has discovered how to integrate logic and physics into what is now known as a computer.
For this reason, the remarkable improvement of circuit physical design (first is the invention of transistor, followed by the application of Moore's law), of course, means that the speed of logic application is significantly improved. Or, in human words, the computer thinks about the speed of the rise.
AI 50 years
Not long ago, Steve Mnuchin, the US Treasury Secretary, "lightly ruled out that AI and machine learning will soon replace a lot of manpower", saying, "this has not even appeared on our radar screen yet, because it's a problem after 50 or 100 years".
Most of the technology community is surprised: are those seemingly endless AI plans and Mnuchin on TC not read?
But again, Mnuchin's view may be more reasonable than what you think. Just look at Maureen Dowd's "the Crusade" launched by the famous vanity retreat in the face of artificial intelligence apocalypse.
One time Musk was astonished at making a public condemnation of his friends and technical colleagues, warning that they would create a means of self destruction. He told Bloomberg Ashlee Vance, is the "Elon Musk" Autobiography of the writer said, he is worried about his friend, co-founder of Google, the parent company of Alphabet CEO Larry Page, that although he has a perfectly good intentions, but still "accidentally create evil things" -- may include a can destroy the human artificial intelligence robot force enhancement."
In 50 years, the 18 months we are now in for the future of the AI community will be seen as a critical period. The AI community has finally awakened and began to think seriously about how to make the future better.
50 years: this time window is the same as Mnuchin; maybe he is worried about the same problem as Elon Musk. But frankly, should the finance minister himself be concerned about this kind of problem?
The problem is obvious: This is obviously not the meaning of "artificial intelligence".
The definition of artificial intelligence
The definition of artificial intelligence is very difficult, there are several reasons. First of all, there are two types of AI: the artificial intelligence described in the name of "vanity and retreat" is general AI, that is to say, computers can do anything that human beings can do. On the contrary, it is Artificial Narrow Intelligence, which can do what human can do, but it is limited to a certain range. For example, some special AI can play chess, while another special AI can go to go.
Interestingly, John McCarthy, which invented the word "artificial intelligence", points out that the definition of special AI is also keeping pace with the times. Especially once used to be considered artificial things become routine -- such as the above mentioned chess or chess program, or countless are said to belong to the computer behoove capability, which we are no longer called artificial intelligence.
This makes you want to say where it is a special difficulty for the end of the computer and the beginning of the artificial intelligence. After all, in the past, accounting was handled manually.
In less than 10 years, the above picture became obsolete and replaced by a IBM mainframe. The computer is doing what human can do, though