Have you heard of artificial intelligence? What is artificial intelligence?Before I answer that question. Let’s start with the term artificial intelligence.The definition of artificial intelligence can be divided into two parts, namely “artificial” and “intelligent”.
“Artificial” is easier to understand and less controversial. The so-called manual is the use of manpower to do things. That’s the literal meaning. Here you are. Artificial means what a person can do or what a person is capable of. Tools in ancient times were invented and made with the saving of manpower. Sometimes we have to think about what people can make, or whether people are smart enough to create artificial intelligence, and so on. But in general, “artificial” is an artificial system in the usual sense.
There are more questions about what “intelligence” is. In its literal sense, intelligence is the ability to be intelligent. It is what one thinks up. In a nutshell, intelligence is an intellectual system. But there’s more to actual intelligence than that. This relates to other issues such as CONSCIOUSNESS, SELF, MIND (including UNCONSCIOUS_MIND) and so on. It is generally accepted that the only intelligence known to man is his own intellectual mind. But we all have a very limited understanding of our own intelligence and the elements that make it human, so it’s hard to define what “artificial” intelligence is. Therefore, the research of artificial intelligence often involves the research topics related to artificial intelligence.
So what exactly is artificial intelligence?
John McCarthy, the father of artificial intelligence, said: ARTIFICIAL intelligence is the machine that makes intelligence, especially the program that makes artificial intelligence. Artificial intelligence enables computers to think intelligently by imitating the way humans think. Artificial intelligence studies the way the human brain thinks, learns and works, and then uses its findings as the basis for developing intelligent software and systems.
The concept of artificial intelligence is very broad, so there are many kinds of artificial intelligence. According to the strength of artificial intelligence, we will divide it into three categories:
Artificial Narrow Intelligence (ANI): A weak AI is an AI that is good at a single aspect. For example, if you have an AI that can beat the world champion in chess, but it only knows how to play chess, you ask it how to better store data on its hard drive, and it doesn’t know what to say. For example, Alpha Go, the first AI to beat a human professional Go player and the first AI to beat a world Go champion, is also a weak AI.
Strong AI, also known as general ai or full AI, refers to artificial intelligence capable of doing all human jobs. A program that can be called strong artificial intelligence probably needs the following abilities: reasoning, using strategies, solving problems and making decisions in the presence of uncertainties; The ability to express knowledge, including the ability to express common sense knowledge; Planning ability; Learning ability; The ability to communicate in natural language; The ability to combine these competencies to achieve a given goal.
3.Super artificial intelligence
Assuming that computer programs can, through continuous development, outsmart the world’s smartest and most gifted human beings, the resulting AI system could be called superai. Superartificial intelligence is the vaguest of all, because no one knows what capabilities beyond the highest levels of human intelligence will manifest. If it is possible to discuss strong AI from a technical point of view, then most of today’s human beings can only interpret super AI from a philosophical or science fiction perspective.
The main technology of artificial intelligence: deep learning + big data
Say simply, deep learning is to learn the computer as a mass of data, the data in a complex, containing multiple levels of data processing network, then check that the data through the network processing results is not conform to the requirements – if, will retain the web as a target model, if does not conform to, Again and again, perseverance to adjust the network parameters, until the output meets the requirements.
It’s like putting in a stream of water. The computer just adjusts the valves in the middle. If it can see water flowing at the expected outlet of the pipe, then the pipe is in order. All we have to do is tell the computer what to input and what to expect, and let it find its own pattern. Of course, when new input comes in, we also need to ensure that the already adjusted pipe does not change.
In other words, deep learning algorithms have models that the computer comes up with. It’s more practical and solves the problem essentially.
Of course, the built “pipeline” can become more and more close to the real world only when it passes the test of various types of “water flow”. It is worth mentioning that big data provides an endless stream of “water flow” for these “pipelines”.
We know that deep learning, large-scale computing, and big data all gradually matured around 2010.
So where can AI be applied? Artificial intelligence is mainly used in the following areas: autonomous driving, intelligent living, and intelligent medical care. These are the main directions. Here xiaobian briefly to tell you, because this field is very wide, so simply to mention to you, if you are interested, you can pay attention to ozmca.com, every day will update artificial intelligence related articles.