DeepMind in “very early stage” talks with National Grid to reduce UK energy use
The DeepMind datacenter project was very interesting, but a lot of the ML people I spoke to were quite dubious about how much of it was genuinely down to new AI/neural networks, and how much of it was Google PR to justify how much they spent on DeepMind.> DeepMind trained a neural network to more accurately predict future cooling requirements, in turn reducing the power usage of the cooling system by 40 percent.But when you look at the DeepMind blog post (https://deepmind.com/blog/deepmind-ai-reduces-google-data-ce...), it looks like the 40% model is comparing to a baseline of doing nothing.  So the question is : is this really something you require an AI research powerhouse like DeepMind for, or is it something a regular data science team could do?