The thermodynamics of learning

From a Phys.org article titled The thermodynamics of learning:

“The greatest significance of our work is that we bring the second law of thermodynamics to the analysis of neural networks,” Sebastian Goldt at the University of Stuttgart, Germany, told Phys.org. “The second law is a very powerful statement about which transformations are possible — and learning is just a transformation of a neural network at the expense of energy. This makes our results quite general and takes us one step towards understanding the ultimate limits of the efficiency of neural networks.”

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