Researchers at Emory and Yale introduced an AI tool that reduces phase detection in quantum materials from months to minutes. Much like self-driving cars using simulation data, they merged high-throughput experiments with machine learning to uncover subtle superconducting transitions. This innovative approach offers a practical example of integrating digital technologies into scientific exploration.