Google has launched a new time-aware framework, MUSCATEL, which improves image recognition accuracy by 15%. The MUSCATEL approach combines the advantages of offline learning and continuous learning, optimizing model performance on future data. Researchers conducted experiments on large real-world datasets, achieving a 15% accuracy improvement. Google's MUSCATEL method provides new insights for addressing the concept drift issue in the field of machine learning.