There is such a psychological phenomenon in psychology above, any word if it is repeated enough times, then the word will lose all meaning. If such a concept to describe artificial intelligence, then the term artificial intelligence is long overdue fall apart. However, the reality is that artificial intelligence appears more and more frequently in the field of science and technology is everywhere, but the meaning has never weakened.
The exact terms of artificial intelligence was misused, the hype and touted too, leading to a lot of people are very difficult to agree on the commercial market above, while there are also some media reports exaggerating research, artificial intelligence, any blurring of the story on both labeled "wanton disregard" label.
Many people now often comes down to whether the AI really smart. For non-professionals, this might be a difficult problem. Compared to the average person, it will be more willing to most familiar with a scientific vision confused: a conscious computer many times smarter than humans. Experts regard this particular case of artificial intelligence known as the artificial general intelligence, if we really want to create such a thing, that there is still a long way to go. Prior to this, no one will exaggerate the wisdom or the ability to benefit from artificial intelligence systems.
Nevertheless, it still does not interfere with this technology contribute to our society, bigger than the previous time. Today, medical, business management, smart city development ... it helps people create music and books, you can read your resume so that your resume is seen as more enterprises to solve enterprise phone sales robot really easy question. Or also, up to your credit card points, and adjust the picture phone. Whether or not you can accept it, it is changing the way your life.
So, instead of talking about artificial intelligence, it is better to talk about the "machine learning." This is a sub-field of artificial intelligence, covering almost all research methods are currently the greatest impact on the world (including so-called deep learning). As such a word, it does not have the mystique of artificial intelligence, but it is more helpful to explain the role of this technology.
Explanation of machine learning many, in fact, it is essentially a "learning" (learning is not in the broad sense) their own computer. But this would lead to a bigger problem.
Let's start with a question. Suppose you want to create a program able to identify the dog. You can try to use the traditional method to do, such as the use of such clear rules "have raised dog's teeth" and "dog fluffy tail" programming. However, if a wolf photos appear, turn the program how to do it? So we need to have programming for each rule, but this is very time-consuming, you must define the concepts of the difficulties in the process, such as "teeth" and "tail." Then the best option is to program their own learning. If you feel that identify the picture too general, you want to identify the sound, especially the human voice, it is best to talk in real time, then this involves the intelligent voice of the industry, though not the same direction but also a corresponding principle, Unlike traditional smart e.g. smartphone robot speaker, by a large collection of data, and integration on the basis of the above, to construct a full speech systems.
In fact, the biggest advantage of this method is the most obvious: you never need to write programs. Of course, you need to do a lot of repair work to improve the system processes the data, and find smarter ways to get this information, but you did not tell the program what it should look. This means that it can be found in humans may be missed or never thought patterns. Because the program requires only the data (1 or 0) you can be trained to become any job, after all, modern society is full of data. With machine learning the hammer in hand, even if the digital world full of nails, you can always use a hammer to hammer into place.
The computer is a wonderful self-study guide shortcut. Like all shortcuts as it needs to go opportunistic. If you wish, you may think there is wisdom in artificial intelligence. But this is not the wisdom of the true human sense, it does not follow the principles of humanity. You might want to ask: How can a book smart? Pan can contain what expertise?
So we are now in what position it in artificial intelligence? In a few years the headlines after announcing a major breakthrough, some experts believe that we have reached some kind of plateau. But this is not really hinder progress. In research, our knowledge there are plenty of avenues to explore, and in terms of products, we have only seen the tip of the iceberg of the algorithm.
Kai-fu Lee described the current era as an "era of implementation", in this day and age, technology began to "spread from the laboratory to the world." Another risk investment strategist Benedict Evans (Benedict Evans) machine learning compared to relational databases. Is an enterprise relational database software, in the 1990s made a fortune, and revolutionized the entire industry. However, machine learning is so common that your eyes may just simply see this term. The two would like to express that we are now in the stage of rapid return to normal artificial intelligence. Evans said: "In the end, almost everything will be in its place inside a machine learning, but no one will care."
He's right, but we're not there yet.
For now, artificial intelligence - machine learning - is still a new thing, often can not be explained or not fully studied. But in the future, artificial intelligence will be common to even ignore you.