Recently, Nature magazine published two research studies showcasing breakthroughs in materials science aided by AI. One study involves an AI system named A-Lab, which independently designed and successfully synthesized 41 new materials within just 17 days. The other study, from Google DeepMind, introduced an AI model called GNoME, which contributed nearly 400,000 new compound data entries to the Materials Project database. These studies demonstrate that the integration of AI can significantly enhance the efficiency of material discovery and validation. With AI, scientists can make predictions, design new materials, and quickly test their feasibility and potential applications more rapidly, allowing them to focus on material innovations that are crucial for future key technologies.