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@ 2018/08/21You want to go to the toilet? I can’t let you do that, Dave.
Google is putting an artificial intelligence system in charge of its data centre after the system proved it could cut energy use.
Now Google and its AI company DeepMind are taking the project further and it will now ignore human staff and directly control cooling in the data centres that run services including Google Search, Gmail and YouTube.
We guess the humans will have to play noughts and crosses before the AI will let them go home in the evenings.
"This first-of-its-kind cloud-based control system is now safely delivering energy savings in multiple Google data centers", Google said.
Data centres use vast amount of energy and as the demand for cloud computing rises even small tweaks to areas like cooling can produce significant time and cost savings. Google's decision to use its own DeepMind-created system is a good plug for its AI business.
According to ZDNet, every five minutes, the AI pulls a snapshot of the data centre cooling system from thousands of sensors. This data is fed into deep neural networks, which predict how different choices will affect future energy consumption.
Google is putting an artificial intelligence system in charge of its data centre after the system proved it could cut energy use.
Now Google and its AI company DeepMind are taking the project further and it will now ignore human staff and directly control cooling in the data centres that run services including Google Search, Gmail and YouTube.
We guess the humans will have to play noughts and crosses before the AI will let them go home in the evenings.
"This first-of-its-kind cloud-based control system is now safely delivering energy savings in multiple Google data centers", Google said.
Data centres use vast amount of energy and as the demand for cloud computing rises even small tweaks to areas like cooling can produce significant time and cost savings. Google's decision to use its own DeepMind-created system is a good plug for its AI business.
According to ZDNet, every five minutes, the AI pulls a snapshot of the data centre cooling system from thousands of sensors. This data is fed into deep neural networks, which predict how different choices will affect future energy consumption.
