EDAI=EducaTIon+AI, which is educational intelligence.
The problem that enterprises in the education industry grow slowly and grow up is that the education industry is an intellectual service industry. Compared with many other industries, it is difficult to standardize, the cost is high, and it is difficult to scale. Artificial intelligence is the transformation of human intelligence into machine intelligence, which can gradually transform education from service industry to information industry.
After two years of capital generation, the artificial intelligence industry has created a lot of companies that are not making billions of dollars worth of valuation. There are also more and more technical cows who are also stunting, and holding the artificial intelligence of the dragon slaughter knife, looking around and seeing where the technically appropriate application scene is worth cutting down this deadly knife.
Artificial intelligence is welcoming new industrial outbreaks, academic research, industry development and capital activity. In 2018, the global artificial intelligence market is estimated to reach nearly 47 billion US dollars, with a compound annual growth rate of 55.1%.
Looking back over the past five years, the financing scale of the entire artificial intelligence industry has grown from 80 million US dollars in 2010 to 1.2 billion US dollars in 2015, with a compound annual growth rate of 57%, so everyone began to explore whether there is a bubble.
In addition, the number of artificial intelligence patent applications in China has surpassed the United States in 2012. The government has also issued policies to support the development of artificial intelligence.
The driving force of artificial intelligence developmentArtificial intelligence is not magic, it does not have thinking. It requires more data, and higher performance and better algorithms can achieve greater intelligence. We see global data growth continues to grow, reaching 40 times in 2009 by 2020, and the growth slope is growing.
A lot of data needs to have better and lower cost cloud storage. There are also better algorithms like deep learning. The next step is even a chip (DPU) designed specifically for deep learning. These all contribute to the deeper and wider application of artificial intelligence, thus enhancing the efficiency and effectiveness of personalized teaching.
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