Green AI: the Carbon Footprint of Machine Learning

Increases in the amount of data that is tracked and stored, increases in computational capacity, and decreases in the cost associated with both data storage and computational power have allowed Machine Learning to evolve from an academic inspiration to a practical superpower.

There’s a flip side to every coin though: the impact of Machine Learning on energy consumption is non-trivial. What can we learn from this, and how do different techniques differ in their carbon footprint?

 

 

 

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