Mr. Li Kaifu once said that talented people are the ones most lacking in the development of domestic artificial intelligence. It is no wonder that the departure of Wu Enda has become the hottest news in the tech circle.
Nowadays, almost every domestic startup company must talk about artificial intelligence. Investors who do not invest in artificial intelligence are embarrassed to open shareholder meetings. Baidu is also the initiator of the domestic artificial intelligence boom. As a leading scientist in the field of artificial intelligence in China, Baidu’s chief scientist, he has left the job at the highly anticipated stage of artificial intelligence, and has naturally become the focus of people’s discussion and speculation.
A friend who has switched from the field of artificial intelligence and wants to turn back now tells Ctoutiao.com that although there is now a certain bubble in the field of artificial intelligence, for the artificial intelligence talent, it is now Enter the best time. He remembered when he graduated in 2007 when nobody knew artificial intelligence. "I don't think you're doing a search, or else you'll think that you're looking more at science fiction."
This is also the reason why he gave up artificial intelligence.
Now that the field of artificial intelligence is so hot, if an entrepreneur wants to get involved in the field of artificial intelligence, what should he do? On this issue, Xiao Bian has discussed and exchanged ideas with him, and arranged it as follows. He hopes that he would like to venture into the field of artificial intelligence. Some benefit.
1. First of all, we must conduct macro control over the industry.
If you enter artificial intelligence, it is important to clarify the industry classification of artificial intelligence.
From the underlying technology, there are categories such as algorithms, semantic recognition, image analysis, and so on. These are the most basic directions. Incoming artificial intelligence, only in these directions, can be the next step, looking for application scenarios.
The application of scenes has become more and more diverse, such as the most popular smart travel, Baidu Google and even Apple have placed a heavy emphasis on automatic driving. There is also intelligent hardware. The intelligent hardware referred to here is not a smart wearable device in the present sense, but it is an interactive hardware capable of carrying a neural network system and various precise sensors, such as a robot. There are also large-scale intelligent numerical control production equipments, etc. These are the application scenarios of artificial intelligence in the present.
An incoming person must start with the most basic industry learning.
The first to clarify the classification, and then engage in an industry map, and be able to find out about its upstream and downstream, this will help you understand the industry, but also help you to enter the industry communication is also very rapid and unimpeded.
Then, with the aid of an industry report on artificial intelligence, reading reports is the fastest way to understand the industry.
Second, it is necessary to grasp the development of artificial intelligence.
Artificial intelligence is divided into three levels: computational intelligence, perceived intelligence, and cognitive intelligence.
Previously, the big data and machine learning that we have come into contact with have largely belonged to the category of computational intelligence. Computational intelligence is the basis of artificial intelligence. Both neural networks and machine learning depend on a large amount of computation and data accumulation. For example, Alpha Go, who defeated the master of human chess, is the representative of computational intelligence.
Then the next phase of sensory intelligence depends on sensor technology. The sensor technology is the input of external random variables. To realize the feedback of the device for environmental variables, collecting variables is an indispensable process. For example, IPhone has created a lot of sensitive sensors, and even some people have asserted that Apple will be the winner of artificial intelligence in the next stage.
The last is the final form of artificial intelligence, cognitive intelligence. This needs to combine the above two levels of content, both to include the algorithm, but also to include information input devices. Now that all major giants are fully deploying smart driving, their realization is a process in which cognitive intelligence works. The ability to respond to all problems through deep learning and environmental variable detection is the embodiment of cognitive intelligence.
3, the final is hard power, master basic disciplines.
Building a logical architecture for learning artificial intelligence requires the knowledge of the basic discipline. This is the core of a truly artificial intelligence talent.
Computer--AI divided into CS, the computer basis is necessary, master C.LABVIEW.MATLAB. And related programming languages, learning data structures, algorithms are entry-level requirements.
Linguistics - Natural language processing requires related knowledge. If you can't understand words, then it's not called AI.
Neuroscience - An important aspect of AI is the simulation of the human brain. Understanding the human thinking mechanism is critical.
Psychology and Philosophy - What is intelligence, how people know, how to learn. These questions are answered by psychology and philosophy.
Cybernetics - The theory of controlling AI and machinery, which is the guarantee of artificial intelligence output by machine behavior.
Materials Science - Hardware Essential.
In addition, high mathematics, line generation, discrete mathematics, probabilistic theory and other related mathematics, electronic information engineering and other professional English, digital and analog electric power also must learn. Only by mastering these, can we have the direction to plan our own development and find the application scene that we can cut into.
Of course, this is only the most basic preparation for entrepreneurs involved in the field of artificial intelligence. To achieve Professor Wu Enda's height, what is needed is more hard work and sweat. Artificial intelligence has become the most critical area for the future development of science and technology. Following the trend, it is the greatest guarantee for the success of entrepreneurship.
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