Artificial intelligence technology mimics some aspects of brain function with layers of probability calculations. DNA base pairs consist of AI-like layers and an amazing toolbox. They represent an entire organism but how they store the parent image and position cells accurately in offspring is obscure. I developed a model of the neutron, proton and electron that represent probabilities that may be carrying out functions needed by DNA to perform its tasks. The proton model describes energy-based features that would allow the DNA layers to position particles, exert forces to separate cells after cell division, store and recall images. Recalling long term visual images is interesting. Where the images are stored and how they are recalled over long periods of time needs to be better understood. The proton model provides a method of "time stamping" information for later recall. The continued motivation of this work is to understand the role of information in our universe. The author believes there are two levels to nature 1) an information level 2) a correlated energy level. This belief is based on data that leads to an information-based proton mass model. This model helps us understand nature.Duplication of protons creates the huge universe around us. Information from the proton model provides information that underlies a cosmological expansion model based on an accurate definition of time and space.