Controlling complex systems with artificial intelligence
Our own Nino Antulov-Fantulin and Thomas Asikis have co-authored a paper, published in Nature Communications, on an artificial neural network that can solve challenging control problems.
by
Marcin Korecki
The self-learning system can be used for the optimization of supply chains and production processes as well as for smart grids or traffic control systems. More info at:
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