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

人工智能的進展不僅僅是關于算法和數據，還涉及理解智能本身的本質。

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

在未來，人工智能將像今天的電力一樣普遍和必不可少。

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

人工智能的最終目標是創造能夠像人類一樣思考、學習和適應的機器。

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

人工智能的挑戰不僅僅是構建能夠執行任務的系統，而是構建能夠學會執行任務的系統。

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

人工智能不會取代人類，但它將增強我們的能力，并改變我們的工作和生活方式。

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

推進人工智能的關鍵是開發能夠從更少的例子中學習并更好地推廣到新情況的系統。

"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."

我們正在邁向一個機器能夠以類似于人類的方式理解和解釋世界的世界。

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

人工智能的未來不僅僅是讓機器變得更聰明，還要讓它們在理解和互動上更像人類。

"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."

深度學習是一種機器學習形式，它使計算機能夠從經驗中學習，并通過概念層次來理解世界。

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

科學中最重要的不是獲得新的事實，而是發現新的思考方式。