The graph shows that robots have been robbing our jobs

In general, AI technology has not really made significant progress but is only taking over our lives. Let's see how this technology is affecting the way we work.

Artificial intelligence (AI) will sometimes become extremely monstrous, such as when the virtual machine's Microsoft Hand is tricked into giving statements that are heavily racist or sexist.

Picture 1 of The graph shows that robots have been robbing our jobs
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Jen-Hsun Huang, CEO of Nvidia, a computer hardware design company shared his views on this market. For a long time, gamers loved Nvidia because its graphics chip was able to handle all the heavy games smoothly. Nvidia's graphics chip is also integrated deep learning , AI technology allows algorithms to identify repetitive processes to gradually " learn " how to perform certain tasks at will. Google executive chairman Eric Schmidt also strongly said that deep learning will dominate the stock exchanges in the next 5 years.

A good example of deep learning technology is that Google applications not only store photos of you and your friends, but also can identify your face . Some deep learning products that identify other iterative processes of Google can also learn from the available data to drive self-driving cars or create suitable recipes for users.

Huang also said the number of companies negotiating with Nvidia about deep learning is booming.

" Two years ago, there were only about 100 companies interested in our deep learning technology, but this year this number has reached 3,500, equivalent to a growth of up to 35 times ."

The broad impact of automation in the US manufacturing industry is evident. The export industry is increasing, but the number of jobs is decreasing.

Picture 2 of The graph shows that robots have been robbing our jobs
Comparison chart of manufacturing industry scale and employment in this industry.

Strategic consulting firm Boston Consulting Group also released data by 2015, 10% of jobs in the manufacturing sector were automated.

Clearly from these figures, AI is no longer just an academic study. Huang thinks this technology has gone from manufacturing research to practical applications.