Bayesian neural network and methods and apparatus to operate the same

@PATENT{Dorrance2024:US12131245,
    author    = {Wang, Hechen and Dorrance, Richard and Dasalukunte, Deepak and Aguirre, David Israel Gonzalez},
    title     = {{Bayesian neural network and methods and apparatus to operate the same}},
    year      = {2024},
    month     = {October},
    day       = {29},
    number    = {US 12,131,245},
    type      = {Patent},
    location  = {US},
    gpatentid = {US12131245},
    abstract  = {Methods, apparatus, systems, and articles of manufacture providing an improved Bayesian neural network and methods and apparatus to operate the same are disclosed. An example apparatus includes an oscillator to generate a first clock signal; a resistive element to adjust a slope of a rising edge of a second clock signal; a voltage sampler to generate a sample based on at least one of (a) a first voltage of the first clock signal when a second voltage of the second clock signal satisfies a threshold or (b) a third voltage of the second clock signal when a fourth voltage of the first clock signal satisfies the threshold; and a charge pump to adjust a weight based on the sample, the weight to adjust data in a model.},
    url       = {}
}