A highly energy-efficient implementation of Random Neural Networks was demonstrated by Krishna Palem et al. using the Probabilistic CMOS or PCMOS technology and was shown to be c.
The inherent randomness of algorithms such as Hyper-encryption, Bayesian networks, Random neural networks and Probabilistic Cellular Automata was harnessed by Krishna Palem et al. to design highly efficient hardware systems using Probabilistic CMOS or PCMOS technology that were shown to achieve gains that are as high as a multiplicative factor of 560 when compared to a competing energy-efficient CMOS based realizations.