理解
The best programs are written so that computing machines can perform them quickly and so that human beings can understand them clearly. A programmer is ideally an essayist who works with traditional aesthetic and literary forms as well as mathematical concepts, to communicate the way that an algorithm works and to convince a reader that the results will be correct.
The only way to make sense out of change is to plunge into it, move with it, and join the dance.
The Internet is the first thing that humanity has built that humanity doesn't understand, the largest experiment in anarchy that we have ever had.
The best way to understand a program is to try to change it.
The study of formal languages and automata is essential for understanding the theoretical underpinnings of computer science.
The theory of computation provides a foundation for understanding what can and cannot be computed.
Understanding the limits of computation is as important as understanding the capabilities.
If you don’t try to uncover what is unseen and understand its nature, you will be ill prepared to lead.
The most important thing in computer graphics is to understand light and how it interacts with surfaces.
"The progress in AI is not just about algorithms and data, but also about understanding the nature of intelligence itself."
"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."
"The future of AI is not just about making machines smarter, but also about making them more human-like in their understanding and interaction."
"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."
The brain is a complex system, and we are just beginning to understand how it works.
We need to understand the brain to build better AI.
The future of AI is in understanding how the brain works.
"We are still in the early days of understanding how to build truly intelligent systems."
"The future of AI lies in making machines that can understand and reason about the world."
"The key to AI is understanding how to build systems that can learn from data."
A well-designed system should be easy to use, easy to understand, and easy to modify.