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关于系统的名人名言哲理格言警句语录 - 每日文摘
系统
"The beauty of formal methods lies in their ability to provide absolute guarantees about system behavior."
"Model checking is a powerful technique for verifying the correctness of finite-state concurrent systems."
"The key to success in bioinformatics is the integration of diverse data types and the development of algorithms that can handle the complexity of biological systems."
The future of medicine lies in the integration of genomics, proteomics, and systems biology.
The future of biology is in understanding the complexity of living systems.
The goal of software architecture is to minimize the amount of knowledge you need to have in order to build a system.
The future of artificial intelligence depends on our ability to create systems that can adapt to new information without explicit programming.
The hardest single part of building a software system is deciding precisely what to build.
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.