800,000 yearly salary recruitment of AI personnel, still in short supply! What is AI? A divine picture understands in seconds


Artificial Intelligence (AI) has become a hot word. Some people are optimistic that AI is omnipotent; others are pessimistic that AI will threaten human society and life. But no matter from which point of view, it has become a consensus that AI will change the world in the near future.

In the first half of 2018 alone, there are data showing that the financing scale of AI-related industries worldwide reached 43.5 billion US dollars. The hottest place is not in the United States, Europe, Japan, but in China!! The financing scale of one country in China reached 31.7 billion US dollars, accounting for 72% of the global share.

The sharp contrast with the investment boom is the shortage of AI talents in China. At present, the ratio of supply and demand has reached 1:10, and the gap is 5 million. That is to say, there is only one AI talent in 10 jobs, which is in serious shortage of supply and demand.

The extreme shortage of AI talents will inevitably lead to higher wages. According to various reports, in recent years, the annual salary of AI-related majors can reach 500,000, and even more than 800,000 outstanding graduates, but it is still “hard to find talent”, and for the super-talents who have made successful projects, there are not a few large factories that offer more than one million annual salaries.

So for our ordinary AI Xiaobai, what about AI? Why can AI change the world? In what ways can AI change the world? Why are AI talents so popular in the market? How do AI talents come into being? These big problems may be difficult to explain for a while and a half, but now we have a “magic weapon” which can let us quickly understand the relevant knowledge.

With this “artifact”

If you have time to learn AI knowledge, you can find a way to learn and become a senior talent in AI industry.

It’s too late to learn (there should be a painful facial pack here, but all facial packs should be copyrighted, we as responsible public name, do not do that infringement, put a paragraph of text, everyone’s brain to fill it), you can simply understand AI, as soon as possible to hone their core competitiveness, so that they (in the short term) can not be taken by AI. Generation.

Neither of the above can be achieved (there should be a more painful facial pack here, but not yet, please make up for it by yourself again). It can be arranged clearly and clearly, at least knowing why AI has replaced its position, and being a “ghost of understanding”….

This “artifact” is

“Artificial Intelligence Map”

This picture is very powerful. It covers the history and future of AI. It can help you understand the theory and application of AI.

This map is divided into two parts.Three aspectsNine Directions92 modules389 knowledge points

Today I will talk about the first aspect, the history of AI.

Generally speaking, the history of AI can be divided into three parts.

1. The first stage (1950s-1980s).At this stage, AI has just been born. Programmable digital computers based on abstract mathematical reasoning have appeared. Symbolism has developed rapidly. However, because many things can not be formally expressed, the model established has some limitations. In addition, with the increasing complexity of computing tasks, the development of AI once encountered bottlenecks.

2. The second stage (1980s-late 1990s).At this stage, the expert system has developed rapidly, and the mathematical model has made great breakthroughs. However, due to the shortcomings of expert system in knowledge acquisition, reasoning ability and high development cost, the development of AI has entered a low ebb again.

3. The third stage (from the beginning of the 21st century to the present).With the accumulation of large data, the innovation of theoretical algorithms and the improvement of computing power, AI has made breakthroughs in many applications. Now, AI has another boom.

During the 60 years of AI’s development, numerous talented people and symbolic events have emerged, with limited space. Here are a few of them:

Alan Turing (1912-1954), a British mathematician and logician, is known as the father of computer science and artificial intelligence. Turing has contributed a lot to the development of artificial intelligence. A test method to determine whether a machine has intelligence is proposed, that is, Turing test, which has been contested every year up to now. In addition, Turing’s famous Turing machine model laid the foundation for the logical working mode of modern computer. In 1954, Turing’s model laid the foundation for the logical working mode of modern computer. Ling took a cyanide-soaked apple into his mouth and said goodbye to the world. He was 41 years old, and the bitten apple was considered the source of Apple’s logo.

John McCarthy (1927-2011), director of the Artificial Intelligence Laboratory at Stanford University, first proposed the concept of “artificial intelligence” at the Dartmouth Conference in 1956.

Marvin Minsky (1927-2017), a controversial genius who has influenced the field of artificial intelligence and artificial neural networks for decades, was the founder of the first robotic arm, the world’s first neural network simulator Snare, and the world’s first Robot C robot capable of simulating human activities.

Arthur Samuel (1901-1990), a pioneer researcher at IBM, put forward the concept of “machine learning” in 1959. Machine learning evolved the traditional manufacturing intelligence into acquiring intelligence through learning ability, and promoted AI to enter the first boom.

Herbert Simon (1916-2001), together with two other scholars, successfully developed the world’s earliest heuristic program, Logic Theorist, in 1956, thus making the machine take the first step in logical reasoning. He is also the only double winner of the Turing Prize (1975) and the Nobel Prize in Economics (1978), the highest prize in the field of Computer Science in the world.

Deep Blue, a super chess computer made by IBM, beat international chess champion Gary Kasparov in 1997.

Alpha Go, developed by Google’s DeepMind, beat Go world champion Ko Jie in 2017.

Since 2016, the United States, the United Kingdom, France, Germany, China and other countries have published their own “artificial intelligence development strategy” to enhance artificial intelligence to the height of national competitive strategy!

This artifact just appeared on the market, has been “luoyang paper expensive”, at the same time, eight industry cafes strongly recommended!

(Here is a screenshot of “How spectacular are the eight together” in Stephen Chow’s “Tang Bohu Points Autumn Fragrance”. Everybody’s brain tonic ~)