
发现
The process of mathematical discovery is as important as the discovery itself.
In the pursuit of mathematical truth, we often find more questions than answers.
The most exciting phrase to hear in science, the one that heralds new discoveries, is not 'Eureka!' but 'That's funny...'
The most profound discoveries often come from the simplest observations.
"In the study of computational complexity, we often find that the boundaries of what is possible are defined by the limits of our imagination."
The discovery of quantum algorithms has fundamentally changed our understanding of computational complexity.
"The power of machine learning lies in its ability to discover patterns and relationships in data that are not immediately obvious to human observers."
"The challenge in machine learning is not just to find patterns in data, but to find patterns that generalize to new, unseen data."
The only way to discover the limits of the possible is to go beyond them into the impossible.
The intersection of mathematics and computer science is where some of the most exciting discoveries are made.
The power of randomness in algorithms is that it can help us find solutions that are difficult to discover through deterministic methods.
The pursuit of knowledge is a journey that never ends, and each discovery opens the door to new questions.
The most important thing in science is not so much to obtain new facts as to discover new ways of thinking about them.
The exploration of computational complexity is a journey into the unknown, where each discovery opens new doors.
The art of algorithm design is not just in solving problems, but in discovering new ways to think about them.
In the quest for computational solutions, we often find that the journey is as important as the destination.
In computer science, we often find that the simplest solutions are the most elegant.
"In the realm of computer science, the most profound discoveries often come from the simplest observations."
The most important thing in science is not so much to obtain new facts as to discover new ways of thinking about them.
"Verification is not just about finding bugs; it's about understanding why the system works the way it does."