Precision loss refers to the decrease in accuracy or detail when data is processed or represented. This can occur in various fields, such as computing, mathematics, and digital imaging, where numbers or images are rounded or truncated. For example, when a large number is converted to a smaller format, some of its detail may be lost, leading to less precise results. In computing, precision loss can happen during calculations, especially with floating-point numbers. When operations are performed on these numbers, the results may not be exact due to the limitations of how they are stored in memory. This can affect applications in scientific computing, graphics rendering, and financial modeling.