The concept of combining multiple techniques can be highly beneficial across a wide range of research areas and problem-solving scenarios outside neural radiance fields. In healthcare, for instance, integrating various diagnostic tools like imaging technologies with machine learning algorithms could lead to more accurate disease detection and personalized treatment plans. In finance, blending traditional statistical models with advanced machine learning approaches could enhance risk assessment strategies and investment decision-making processes. Moreover, in environmental science applications like climate modeling or biodiversity conservation efforts, leveraging a combination of simulation models with AI algorithms may provide more robust predictions and insights for sustainable practices.