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.
We are all connected; to each other, biologically; to the earth, chemically; to the rest of the universe, atomically.
I'm not interested in playing the hero. I'm interested in playing the human.
The spirit of science lies in constant questioning and exploration, keeping us forever curious about the world.