"The progress in AI is not just about algorithms and data, but also about understanding the nature of intelligence itself."

人工智能的进展不仅仅是关于算法和数据，还涉及理解智能本身的本质。

"In the future, AI will be as common and essential as electricity is today."

在未来，人工智能将像今天的电力一样普遍和必不可少。

"The ultimate goal of AI is to create machines that can think, learn, and adapt like humans."

人工智能的最终目标是创造能够像人类一样思考、学习和适应的机器。

"The challenge in AI is not just to build systems that can perform tasks, but to build systems that can learn to perform tasks."

人工智能的挑战不仅仅是构建能够执行任务的系统，而是构建能够学会执行任务的系统。

"AI will not replace humans, but it will augment our capabilities and change the way we work and live."

人工智能不会取代人类，但它将增强我们的能力，并改变我们的工作和生活方式。

"The key to advancing AI is to develop systems that can learn from fewer examples and generalize better to new situations."

推进人工智能的关键是开发能够从更少的例子中学习并更好地推广到新情况的系统。

"We are moving towards a world where machines will be able to understand and interpret the world in a way that is similar to how humans do."

我们正在迈向一个机器能够以类似于人类的方式理解和解释世界的世界。

"The future of AI is not just about making machines smarter, but also about making them more human-like in their understanding and interaction."

人工智能的未来不仅仅是让机器变得更聪明，还要让它们在理解和互动上更像人类。

"Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts."

深度学习是一种机器学习形式，它使计算机能够从经验中学习，并通过概念层次来理解世界。

"The most important thing in science is not so much to obtain new facts as to discover new ways of thinking about them."

科学中最重要的不是获得新的事实，而是发现新的思考方式。