Recently, Guoyi Quantum released the world's first AI electronic paramagnetic resonance spectrometer. This series of products not only has AI functions, but also improves the key core indicator - signal-to-noise ratio - to 10000:1, which is the highest level in the world, achieving a major breakthrough in the field of paramagnetic resonance spectroscopy. Electron paramagnetic resonance (EPR) technology is an important method for detecting unpaired electronic structures and dynamics in materials, widely used in fields such as chemistry, physics, and medicine. However, obtaining and analyzing EPR spectra face many challenges, such as low signal-to-noise ratio, multiple parameters, and complex models. AI has powerful data processing and knowledge acquisition capabilities, providing effective tools and methods for optimizing, fitting, interpreting, and predicting EPR spectra. The newly released product not only significantly improves the accuracy of instrument detection, but also has two core capabilities: AI driven spectral analysis and intelligent literature association. Team researcher Xu Kebiao introduced that AI driven spectral analysis covers 90% of sample types with AI spectral analysis capabilities, shortening the complex analysis process that originally required hours or even days to just a few minutes. The popularity of this feature means that EPR will play a key role in a wider range of scientific research fields; Intelligent literature association can automatically link global literature databases, providing researchers with highly relevant academic resources, greatly improving research efficiency and accuracy, and promoting interdisciplinary innovation and breakthroughs. (New Society)