These sample pieces of knowledge are transient, despite the fact that limited memory builds upon observational data together with the pre-programmed data the machines have already. Autonomous vehicles are a type of limited memory that already exists.

Autonomous vehicles, often known as self-driving automobiles, operate on the theory of finite memory since they rely on both preprogrammed knowledge and observational learning. Self-driving cars scan their environment, notice trends or changes in external elements, and modify as necessary to observe and understand how to drive and function amid human-dependent vehicles.

In addition to observing their surroundings, autonomous cars also keep a close eye on people and other moving objects in their field of vision. Previously, the reaction time and judgement times of driverless automobiles with unlimited memory AI may reach 100 seconds. The benefit of restricted memory AI is demonstrated by the substantial decrease in reaction time on machine-based observations since its inception.