挑战
The challenge in learning is not just to memorize, but to generalize from specific examples to broader concepts.
"The challenge in formal verification is to bridge the gap between the abstract models and the actual implementations."
"The challenge in bioinformatics is not just to store data, but to make it meaningful."
In the world of computation, complexity is not an enemy, but a challenge to be understood and mastered.
The real challenge is not just to collect data, but to make sense of it.
The challenge of the future is not just to store more data, but to make sense of it.
The challenge in computer science is to bridge the gap between the theoretical models and practical applications.
The challenge of modern cryptography is not just to protect information, but to do so in a way that is both efficient and scalable.
As data grows, so does the complexity of managing it. The challenge is to keep the systems simple and efficient.
The use of a program to prove the 4-color theorem will not change mathematics - it merely demonstrates that the theorem, a challenge for a century, is a finite problem.
The challenge in theoretical computer science is not just to solve problems, but to understand the nature of problem-solving itself.
The quest for efficient algorithms is, at its core, a mathematical endeavor that challenges our understanding of complexity and computability.
The pursuit of mathematical knowledge is a never-ending adventure, filled with challenges, surprises, and the satisfaction of solving the unsolvable.
The quest for efficient algorithms is not just a technical challenge; it is a journey into the heart of complexity.
The challenge of quantum computing is not just in building the hardware, but in understanding the new algorithms that can take advantage of it.
The development of learning algorithms that can handle high-dimensional data is a major challenge in the field.
The challenge in computational learning theory is to understand the capabilities and limitations of learning algorithms.
"The challenge in theoretical computer science is not just to solve problems, but to understand why they are hard to solve."
The challenge is to ensure that the Internet remains a force for good, a tool for empowerment, and a platform for innovation.
The computing scientist's main challenge is not to get confused by the complexities of his own making.
