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Safety-first AI for autonomous data center cooling and industrial control — blog.google

Many of society’s most pressing problems have grown increasingly complex, so the search for solutions can feel overwhelming. At DeepMind and Google, we believe that if we can use AI as a tool to discover new knowledge, solutions will be easier to reach.In 2016, we jointly developed an AI-powered recommendation system to improve the energy efficiency of Google’s already highly-optimized data centers. Our thinking was simple: Even minor improvements would provide significant energy savings and reduce CO2 emissions to help combat climate change.Now we’re taking this system to the next level: instead of human-implemented recommendations, our AI system is directly controlling data center cooling, while remaining under the expert supervision of our data center operators. This first-of-its-kind cloud-based control system is now safely delivering energy savings in multiple Google data centers. How it works Every five minutes, our cloud-based AI pulls a snapshot of the data center cooling system from thousands of sensors and feeds it into our deep neural networks, which predict how different combinations of potential actions will affect future energy consumption. The AI system then identifies which actions will minimize the energy consumption while satisfying a robust set of safety constraints. Those actions are sent back to the data center, where the actions are verified by the local control system and then implemented.

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