What are the upcoming trends in AI architecture?
Some key trends include modular AI systems, increased use of edge computing, and enhanced explainability in AI models.
How will edge computing impact AI performance?
Edge computing reduces latency and bandwidth usage, allowing AI models to process data closer to the source, improving real-time decision-making.
What is modular AI architecture?
Modular AI architecture involves breaking down AI systems into smaller, interchangeable components, making them easier to update and scale.
Can you explain the importance of explainability in AI?
Explainability is crucial for trust and accountability, allowing users to understand how AI models make decisions and ensuring compliance with regulations.
What are some challenges in implementing these trends?
Challenges include data privacy concerns, integration complexities, and the need for skilled personnel to manage advanced AI systems.
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