可能
Nothing in life is to be feared, it is only to be understood. Now is the time to understand more, so that we may fear less.
I don't have any particular recipe [for developing new proofs] ... It is the reason why doing research is challenging as well as attractive. It's like being lost in a jungle and trying to use all the knowledge that you can gather to come up with some new tricks, and with some luck you might find a way out.
"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 pursuit of knowledge in computer science is a journey through a landscape of infinite possibilities."
The only way to discover the limits of the possible is to go beyond them into the impossible.
The challenge of computer science is not just to build faster machines, but to understand the very fabric of computational possibility.
"The quest for efficient algorithms is a journey through the landscape of mathematical possibility."
"In computational learning theory, the challenge is not just to learn, but to understand how learning is possible."
In the context of computational learning, the concept of 'probably approximately correct' (PAC) learning provides a framework for understanding the efficiency and feasibility of learning algorithms.
In the world of computing, the boundary between the possible and the impossible is often defined by the algorithms we can devise.
The Internet is a reflection of our society and that mirror can be either flattering or unflattering depending on who is looking.
The web is a way of connecting people in a meaningful way, a way that was not possible before.
Understanding the limits of computation is as important as understanding its possibilities.
The study of algorithms is not just about solving problems, but about understanding the limits of what is computationally possible.
Mathematics is the science of patterns, and nature exploits every possible pattern.
The synergy between theoretical computer science and applied mathematics has led to breakthroughs that were once thought impossible.
The concept of probably approximately correct (PAC) learning has been foundational in computational learning theory.
A distributed system is one in which the failure of a computer you didn’t even know existed can render your own computer unusable.
The only way to discover the limits of the possible is to go beyond them into the impossible.
The Internet is a great equalizer, but it also has the potential to exacerbate inequalities.