Google Optimizes Data Centers with Machine Learning Algorithms

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In the interview, Google Data Center's Joe Kawa said: "Google is using machine learning algorithms to achieve higher energy efficiency. Machine learning algorithms refer to new environmental data analysis algorithms. We have a lot of data about our data center operations. Machine learning algorithms can find hidden connections between these data points to help us better optimize the center.” The same technology also helped Google design its self-driving car in a dynamic environment to ensure optimal driving conditions.
Google is deploying the technology in 12 data centers worldwide and has already achieved practical results. Mr. Kawar visited Singapore's data center frequently in Singapore last week because the company launched its second data center in December last year. He said "Asia is very important to us. More than half of the world's population lives here and 60 million new netizens were created in the third quarter of last year. This is twice the population of Canada. Therefore, we are very committed to this. In the region, although we have no plan to establish more data centers here, we are still investing in growing companies in Singapore."

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