系统
The greatest performance improvement of all is when a system goes from not working to working.
The best database systems are those that are invisible to the user, yet powerful in their capabilities.
As data grows, so does the complexity of managing it. The challenge is to keep the systems simple and efficient.
The key to a successful database system is its ability to evolve with the changing needs of its users.
Innovation in database systems is not just about speed, but also about adaptability and scalability.
The ability to learn from noisy data is a key aspect of robust machine learning systems.
The hardest part of designing a system is deciding what to build.
The most important aspect of a software system is its ability to meet the needs of its users.
A well-designed system is one that can evolve over time without requiring significant rework.
Abstraction is the key to managing complexity in software systems.
The goal of software engineering is to produce reliable, maintainable, and efficient software systems.
Modularity is essential for building large systems, as it allows us to break down complex problems into smaller, more manageable parts.
A distributed system is one in which I can’t get any work done because some machine I’ve never heard of has crashed.
A distributed system is one in which the failure of a computer you didn’t even know existed can render your own computer unusable.
A good system design is one that makes it easy to do the right thing and hard to do the wrong thing.
The value of a network is proportional to the square of the number of connected users of the system.
"The challenge in AI is not just to build systems that can perform tasks, but to build systems that can learn to perform tasks."
"The key to advancing AI is to develop systems that can learn from fewer examples and generalize better to new situations."
The brain is a complex system, and we are just beginning to understand how it works.
"We are still in the early days of understanding how to build truly intelligent systems."
