Re:Google Cuts Its Giant Electricity Bill with DeepMind-Powe...
by Xcelerate on Tuesday July 19, 2016 @11:41PM
(#12126716)
Chemical engineering process design can become very complex and highly nonlinear (in fact, Nick Sahinidis' group in the chemical engineering department at CMU created BARON explicitly for solving these kinds of problems to global optimality — see http://archimedes.cheme.cmu.edu/?q=baron). Granted, Google's systems don't involve chemical reactions, but that doesn't automatically mean that designing these data centers is a simple task.
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Re:Google Cuts Its Giant Electricity Bill with DeepMind-Powe...
by niels_olson on Tuesday July 19, 2016 @11:51PM
(#12126756)
I work with a guy who has done ground-breaking linear algebra work, spent most of career at Shell. The systems have been too complex to model for a long time. I can imagine an AI instructed to optimize a parameter could be a huge gain.