AI and machine learning are revolutionizing traditional materials testing methods by improving accuracy and efficiency. These technologies process massive datasets, identify complex patterns, and make precise predictions, allowing researchers to optimize material selection for specific applications without extensive physical testing. AI also automates repetitive tasks, freeing researchers to focus on complex problem-solving and material design.
