Journal of Engineering and Applied Sciences Technology

This paper is based on the “Artificial BioIntelligence Theory” book (Amazon, 2023), previously registered in the Property Register of the Madrid Community (Spain) and also published partially through some posts in X (Twitter) since December, 2023. A new Theory showing that Evolution (in its different expressions) is based on continuous darwinian self-learning processes ("Nature AI”) is introduced. An Abstract Neural Network (composed of Abstract Layers) concept is introduced as support of an AI Self Learning model. We discuss how Universe Evolution has happened and why and how the Nature Laws have evolved over Time. We also discuss how Life has emerged, its procedence and evolution from its first evolutionary expression in shape of Language (DNA/RNA) till the most evolved architectures supported by neural networks as expression of Intelligence. A detailed analysis about how Universe could also have reached its own Intelligence is done. We also show an example about how self learning processes have shaped our immune system. Some proofs are shown about the validity of the Theory.