ABSTRACT
Artificial Intelligence (AI) has addressed the quantum gravity problem in more than one way, and one alternative is constructing a “physical learning machine” with stochastic connectivity weights and hidden variables representing the random states of the nodes. The network is endowed with an emergent gravity in the nonequilibrium regime for the hidden variables. A nexus for progeny universe has many layers; an enlarged view shows dark matter as a black ring on a slid grid ring. To leverage this multiverse scenario, an advanced AI-based cosmic technology for universe reproduction is implemented. The technology harnesses dark energy tunneling as a nucleating quantum fluctuation that spans the progeny universe. AI's multiverse solution is based on a “multiverse matrix,” a pivotal scenario consisting of coupled holographic autoencoders capable of converting dark energy into dark matter as the tunneling of dark energy is steered through a cosmic birth canal.
