算法的真正考验不仅在于其正确性，还在于其可扩展性和鲁棒性。
The essence of computational thinking is abstraction and automation.
The power of a computational model is not just in its ability to compute, but in its ability to generalize from specific instances.
计算模型的力量不仅在于其计算能力，还在于其从特定实例中概括的能力。
The future of artificial intelligence depends on our ability to create systems that can adapt to new information without explicit programming.
人工智能的未来取决于我们创造能够适应新信息而无需显式编程的系统的能力。
In the realm of computational learning, the key is not just to learn, but to learn efficiently.
在计算学习领域，关键不仅在于学习，而在于高效地学习。
The beauty of algorithms lies in their ability to solve complex problems with simple steps.
算法的美在于它们能够用简单的步骤解决复杂的问题。
Understanding the limits of computation is as important as understanding its possibilities.
理解计算的极限与理解其可能性同样重要。
The challenge in computer science is to bridge the gap between the theoretical models and practical applications.
计算机科学的挑战在于弥合理论模型与实际应用之间的差距。
The ultimate goal of machine learning is to make machines that can learn from experience and improve their performance over time.
The development of learning algorithms that can handle high-dimensional data is a major challenge in the field.
开发能够处理高维数据的学习算法是该领域的一个主要挑战。
The ability to learn from noisy data is a key aspect of robust machine learning systems.
从噪声数据中学习的能力是鲁棒机器学习系统的一个关键方面。