Posted on February 7, 2019 by Jessica Ciesla
It's no secret that machine learning has infiltrated everything from the technology sector to the consumer market. From smartphone assistants to Google's Artificial Intelligence (AI) advancements, machine learning continues to help tackle the most challenging problems in the world. When it comes to data centers, the use of machine learning has led to incredible advances in efficient and reduced energy consumption.
Google's AI Leads To A Breakthrough In Energy Consumption
Google's DeepMind AI program has been used in their data centers to reduce the amount of energy used on a daily basis. The implications of this type of machine learning are potentially industry-changing. Take for example the amount of energy that is used to cool a data center. From cooling the servers to maintaining the optimal temperatures in a rapidly warming world, data centers require an astronomical level of energy to cool. Fortunately, AI programs, like DeepMind, are designed to not only reduce the amount of energy needed to cool a data center, but to also provide actionable insights into a global issue: climate changes.