In the context of computational learning, the concept of 'probably approximately correct' (PAC) learning provides a framework for understanding the efficiency and feasibility of learning algorithms.
The same things do not produce the same effects， though conjoined with the same subjects.
无人机的安全性不是选项，而是底线。