A digital twin is a collection of digital data representing a physical object. The concept of a digital twin is born within engineering disciplines. A digital twin is created to optimize and test designs even before they are manufactured. The relation between the digital twin and the actual one doesn't end there. Once manufactured, data and measurements are fed back to make the digital model more accurate.
In some cases, digital twins can be used to predict the life, wear and fatigue of an object before it happens in the actual object.
The digital twin is extended outside of an object within the autonomous driving domain. A digital world is created to mimic the physics and randomness to train and improve models that drive autonomously.
As the cost of computation and the necessary hardware required for doing so comes down, there is a possibility that the digital twin of an object could be embedded within the object.
