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DBMS
The three-schema architecture separates database definition into three levels: External Schema (Views): Customized views for different users. Conceptual Schema: Overall logical structure, independent of storage. Internal Schema: Physical storage details (invisible to users). Mappings connect these lRead more
The three-schema architecture separates database definition into three levels:
Mappings connect these levels:
This layered approach offers benefits:
- Data Independence: Changes to storage won’t affect user views.
- Security: Users only see authorized data.
- Flexibility: New user views can be added easily.
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Microsoft servers weren't actually down themselves, but rather a widespread outage occurred on July 19th, 2024 due to a faulty update from cybersecurity firm CrowdStrike. This update impacted a critical component used by many Microsoft Windows systems. The outage caused disruptions for various serviRead more
Microsoft servers weren’t actually down themselves, but rather a widespread outage occurred on July 19th, 2024 due to a faulty update from cybersecurity firm CrowdStrike. This update impacted a critical component used by many Microsoft Windows systems.
The outage caused disruptions for various services that rely on Microsoft products, including airlines, banks, and hospitals. Microsoft and CrowdStrike worked together to resolve the issue, and according to reports, most systems were back online by July 19th.
See lessWhat are the latest trends in artificial intelligence and machine learning applications?
1. Generative Models: Cutting-edge models like GPT-4 are revolutionizing natural language capabilities, pushing the boundaries of text generation and comprehension. 2. Edge Computing: AI is now seamlessly integrated into edge devices, enabling instant data processing and enhancing real-time decisionRead more
1. Generative Models: Cutting-edge models like GPT-4 are revolutionizing natural language capabilities, pushing the boundaries of text generation and comprehension.
2. Edge Computing: AI is now seamlessly integrated into edge devices, enabling instant data processing and enhancing real-time decision-making.
3. Transfer and Few-Shot Learning: These advanced techniques empower models to swiftly adapt to new tasks with minimal data, driving efficiency and innovation.
4. Healthcare Breakthroughs: AI is making waves in diagnostics and personalized medicine, offering transformative solutions for patient care and treatment precision.
5. Ethical and Explainable AI: There’s a rising emphasis on creating transparent, fair, and accountable AI systems to address biases and build trust.
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