Gibbs-randomness proposition for energy efficient deep learning

A new technique called DTC can be used to train deep learning with model compression on the fly. This gives rise to massively energy efficient deep learning, reaching almost ~98% reduction in energy use. Moreover, the technique also demonstrated an extended version of Kolmogorov complexity.