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关于而是的名人名言哲理格言警句语录 - 每日文摘
而是
The essence of mathematics is not to make simple things complicated, but to make complicated things simple.
Mathematics is not a careful march down a well-cleared highway, but a journey into a strange wilderness, where the explorers often get lost.
The process of mathematical discovery is not about reaching a destination, but about the journey itself.
The essence of mathematics is not to make simple things complicated, but to make complicated things simple.
The true challenge in mathematics is not solving problems, but asking the right questions.
Mathematics is not just a collection of abstract theories, but a language that describes the universe.
The most exciting phrase to hear in science, the one that heralds new discoveries, is not 'Eureka!' but 'That's funny...'
Innovation is not about saying yes to everything. It's about saying no to all but the most crucial features.
The real power of technology lies in its ability to connect us, not just to information, but to each other.
The future of technology is not about more features, but about more meaning.
We are moving from an era of information scarcity to an era of information abundance, and the challenge is no longer finding information but managing it.
It's not just about writing code; it's about solving problems.
The challenge is not just to make computers faster, but to make them smarter.
The challenge in computer science is not just to solve problems, but to understand why they are problems in the first place.
The future of computing will be shaped not by hardware, but by the algorithms that drive it.
The key to innovation is not just to think outside the box, but to realize that the box itself is an illusion.
Education is not the filling of a pail, but the lighting of a fire.
The real challenge in computer science is not to write programs, but to understand the nature of computation.
Security in computing is not just about building walls, but about understanding the landscape of threats.
"In machine learning, the goal is not just to fit the data, but to find a model that captures the underlying structure of the data."