AI to Cool Down Google's Servers

DeepMind's algorithm allowed to save energy - for 9 months the efficiency index increased from 12% to 30%
20 August 2018   610

Google used DeepMind's AI technology to fully automate the cooling system in its data centers. The corporation began to use the algorithm in 2016, but then it just gave the engineers advice on reducing costs. In August 2018 the system began to work completely autonomously.

Researchers trained the algorithm using the "Training with reinforcement" method. Every five minutes, the AI ​​collects data from thousands of sensors inside the data center. The algorithm determines which configurations of the cooling system reduce the energy consumption in the  best way and independently includes them. Although its work is fully automated, the company's engineers can intervene at any time.

We wanted to achieve energy savings with less operator overhead. Automating the system enabled us to implement more granular actions at greater frequency, while making fewer mistakes.
 

Dan Fuenffinger
Data Centre Operator, Google

In total, the system monitors more than 120 different parameters of the data center operation, including air conditioning control, closing and opening of windows, fan speed and others.

After full automation, the DeepMind's algorithm allowed to save more energy - for 9 months the efficiency index increased from 12% to 30%.


Energy Consumption

According to Google data center vice president Joe Cava, the project will help the company save millions of dollars and reduce carbon dioxide emissions into the environment. In the long term, the system will help solve the problem of climate change, according to representatives of Google.

Python to be Language of 2018 According to TIOBE

According to experts, Python has become an integral part of many IT-spheres, including AI
09 January 2019   338

TIOBE experts called Python the programming language of 2018 - according to them, Python has become an integral part of many IT-spheres. It is leader of use at statistics, artificial intelligence systems development, scripts and system tests, and is still widely used in web development and scientific computing.

By the way, Python reached this peak for the third time - none of the languages ​​showed this result.

TIOBE Languages of the Year List
TIOBE Languages of the Year List

TIOBE experts summed up not only the whole year, but also the month. Returning to the top three in December, in January, Python continued to push C ++, although the last time it lost ground fairly quickly.

MATLAB changed places with Ruby: the first one rose to the 11th line, the second one dropped to 18. TypeScript took off as much as 118 points and took the 49th place. F # lost two dozen points, and Alice lost all four.

Tiobe Index Jan 2019 to Jan 2018 Compare
Tiobe Index Jan 2019 to Jan 2018 Compare

Kotlin started the year with a positive. The language has risen to 31st place, and experts believe that in 2019 it will enter the top 20.