The convergence of artificial intelligence, genomics, molecular biology, advanced robotics, and large-scale biological data is creating a new scientific landscape in which researchers can investigate the human genome with an unprecedented combination of computational power, experimental precision, and biological context. Genomic information is no longer being treated only as a static sequence of nucleotides. Instead, scientists are increasingly examining DNA as part of dynamic systems involving gene regulation, epigenetic states, chromatin organization, cellular identity, molecular interactions, evolutionary history, and physiological processes. This transformation is opening new possibilities for understanding how genetic information contributes to human biology, disease, development, aging, and individual biological variation. At the center of this transformation is genomic artificial intelligence, a rapidly developing research area involving computational models capable of lear...