In the case of China's artificial intelligence technology development is also facing great challenges, such as the shortage of artificial intelligence experts, this is a very serious event, the demand for personnel is large, China's current situation is simply not available. So giants such as Google are investing more and trying to make artificial intelligence evolve.
Recently, technology giants such as Google are exploring and using automated methods to solve the shortage of artificial intelligence experts.
It is a researcher's dream to let artificial intelligence machines make other artificial intelligence machines, but it may also be a nightmare for computer programmers. In a recent speech in Silicon Valley and China, Jeff Dean, one of Google's leading engineers, highlighted the project called AutoML. ML is an abbreviation for machine learning. This computer algorithm can learn to perform specific tasks by analyzing the data. Google's AutoML is a machine learning algorithm that learns to develop other machine learning algorithms.
With AutoML, Google may soon find an automated way to develop artificial intelligence technology that is somewhat free of labor. Many people believe that this will be the future of the technology industry.
Google is trying to bring the latest and greatest artificial intelligence technology to a wider range of companies and software developers. AutoML is part of this effort.
The technology industry envisions a variety of advanced technologies, including smart phone applications that recognize faces and cars that can drive automatically. Algorithms are the key to driving the development of these artificial intelligences. However, it is estimated that only 10,000 people worldwide have the knowledge, experience and capabilities to study such complex mathematical algorithms.
The world's largest technology companies, including Google, Facebook and Microsoft, spend millions of dollars each year on artificial intelligence professionals, effectively monopolizing this scarce talent market. The scarcity of talent cannot be solved in the short term, because it takes many years of experience to master relevant skills.
However, the industry has been unable to wait. Companies are developing a variety of tools to more easily develop autonomous artificial intelligence software, including image speech recognition services and chat bots.
Joseph Sirosh, Microsoft's vice president, said: "We are following the same path as other areas of computer science." He recently announced a tool that will help programmers develop deep neural networks. “We are eliminating a lot of tedious work.â€
This is not just for others. Researchers like Dean believe that if more people and more companies focus on artificial intelligence, then this will also drive their own research. At the same time, companies such as Google, Amazon and Microsoft also saw the trend described by Hiros. These companies are selling related cloud computing services to help other companies and developers build artificial intelligence.
Matt Scott, co-founder and chief technology officer of Chinese startup Malong, said: "There are real needs here, and the tools have not met all the requirements."
This is likely to be Google's vision of AutoML, and the company continues to emphasize the progress of the project. When the new Android phone was released last month, Google CEO Sundar Pichai focused on Google's automation.
Dean said that eventually Google's project will help third-party companies develop artificial intelligence systems, even if they lack relevant expertise. He estimates that there are currently no more than a thousand companies with the ability to develop artificial intelligence, but many companies have the necessary data.
He said: "We hope that the institutions that focus on machine learning will change from thousands to millions."
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