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ABC, the new strategy of Internet companies
Andrew Ng said, "AI is the new power. I believe that artificial intelligence will change all walks of life in the future. If this idea is right, the world will need millions of people with deep learning knowledge." He believes that we should build an AI A driven society hopes to spread the knowledge of machine learning to everyone, and even every programmer must know how to use AI in the future.
All Around AI
From cutting-edge technology companies to traditional industries that strive to innovate, almost everyone wants to grasp the "wind" of artificial intelligence. Baidu emphasized that the strategy has been "All in AI" from now on. Lenovo said that it would bet on its wealth and bet on AI, and Microsoft said it would bet on AI with all its strength and no longer prioritize "mobile and cloud"...
The price of talents in the field of artificial intelligence has skyrocketed, and companies large and small hope to recruit suitable talents. Giants have begun to establish "Artificial Intelligence Research Institute" to plan their own territory. Academic superstars represented by Yan Shuicheng, Li Feifei, Shan Shiguang, and Xing Bo have also begun to step into the wave of the AI market. This artificial intelligence boom is like a talent game.
Senior data mining engineers and machine learning algorithm engineers are the most popular AI first-line technical talents. For such positions, the monthly salary ranges from 10,000 to 20,000, and the annual salary is more than one million. Unlike other industries that occupy the high-paying list of occupations are senior management talents, in the field of artificial intelligence, technical engineers get the highest salaries. However, the demand for machine learning talents is far in short supply. According to industry analysts, the shortage of artificial intelligence talents in China exceeds 5 million, and the supply-demand ratio is only 1:10. The demand for talents has soared. It is difficult to solve the "near thirst" by the "far water" of university education alone. The basic situation in the industry is that the top artificial intelligence talents come from Silicon Valley and domestic and foreign universities. A large part of the front-line employees are internal transfers, and the other part is Recruited through campus.
In this technological dividend, the data man has the first opportunity, and it is also the one who needs to transform AI. The market is waiting for our rise, and we need to prepare for our future. What knowledge do we need? How to understand what AI can do? What technologies were used to achieve this? How do we need to learn to adapt to technological changes?
This is a typical AI architecture diagram. "B"+"C" establishes "A". Big data platform and cloud computing are the first layer of AI architecture. AI engineers must also have the capability of big data platform architecture. For example, a team working on autonomous driving needs to use the existing big data architecture to manage super-massive data. Whoever has data in the industry can use AI to form a closed-loop application. Big data people are the technical people closest to AI. But also need to learn more "A" layer technology. And what information can we see in some other media? "Facebook chatbots have begun to create their own language!", "AI will lay off half of the world's people!", terrible, AI will do this! Surprised, AI will do that!
In fact, what we need to understand is, for example, how recommendation systems dominate your buying and reading habits; for example, voice recognition, how to enter your life through smart products; such as computer vision technology, how to apply security and authentication, and so on. We have always provided such practical dry goods to change our daily lives by disseminating these tangible technologies. We believe that this is the purpose of promoting artificial intelligence.
Since its establishment, Jilian AI Cloud has always been committed to being a professional shared computing power network platform, helping the development of the artificial intelligence industry, achieving the principle of innovation and win-win, and contributing to the AI business. Since its establishment in April, in less than half a year, we have more than 3,000 users. We have formed 13 AI technology discussion groups, large and small, to share experiences and learn together. On our official website, loyal fans post various technical articles on the forum every day, and the platform will also have posting rewards. Not only allows everyone to show themselves, but also provides opportunities for everyone to learn from each other. We hold various online activities every month. These activities not only give you high rewards, but also let more and more people understand our platform and create miracles in learning and work.
If you want to know more deep learning partners and exchange more technical issues, please pay attention to the public account "Jilian AI Cloud" (providing you with the most cost-effective shared computing platform, official website address: https://cloud.videojj.com / )