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.
爱因斯坦曾说 ‘上帝从不掷骰子’。恰恰相反,黑洞的研究表明上帝的确会掷骰子,偶尔还让骰子销声匿迹,令人徒唤奈何。