楊立昆
深度學(xué)習(xí)的先驅(qū)
"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(guān)于算法和數(shù)據(jù)，還涉及理解智能本身的本質(zhì)。
"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(biāo)是創(chuàng)造能夠像人類一樣思考、學(xué)習(xí)和適應(yīng)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(zhàn)不僅僅是構(gòu)建能夠執(zhí)行任務(wù)的系統(tǒng)，而是構(gòu)建能夠?qū)W會執(zhí)行任務(wù)的系統(tǒng)。
"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(guān)鍵是開發(fā)能夠從更少的例子中學(xué)習(xí)并更好地推廣到新情況的系統(tǒng)。
"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(xué)習(xí)是一種機器學(xué)習(xí)形式，它使計算機能夠從經(jīng)驗中學(xué)習(xí)，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(xué)中最重要的不是獲得新的事實，而是發(fā)現(xiàn)新的思考方式。